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1. Statistical Methods in Counterterrorism : Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication
edited by Alyson G. Wilson, Gregory D. Wilson, David H. Olwell
出版情報: New York, NY : Springer Science+Business Media, LLC, 2006
オンライン: http://dx.doi.org/10.1007/0-387-35209-0
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2. Finite Mixture and Markov Switching Models
by Sylvia Frühwirth-Schnatter
出版情報: New York, NY : Springer Science + Business Media, LLC, 2006
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-35768-3
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3. Statistics and Analysis of Shapes
edited by Hamid Krim, Anthony Yezzi
出版情報: Boston, MA : Birkhäuser Boston, 2006
シリーズ名: Modeling and Simulation in Science, Engineering and Technology ;
オンライン: http://dx.doi.org/10.1007/0-8176-4481-4
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4. A First Course in Statistics for Signal Analysis
by Wojbor A. Woyczyński
出版情報: Boston, MA : Birkhäuser Boston, 2006
オンライン: http://dx.doi.org/10.1007/978-0-8176-4516-8
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5. Linear Systems
by Panos J. Antsaklis, Anthony N. Michel
出版情報: Boston, MA : Birkhäuser Boston, 2006
オンライン: http://dx.doi.org/10.1007/0-8176-4435-0
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6. Immersive Audio Signal Processing
edited by Robert Gallager, Jack Keil Wolf, Sunil Bharitkar, Chris Kyriakakis
出版情報: New York, NY : Springer New York, 2006
シリーズ名: Information Technology: Transmission, Processing and Storage ;
オンライン: http://dx.doi.org/10.1007/0-387-28503-2
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7. Sparse and Redundant Representations : From Theory to Applications in Signal and Image Processing
by Michael Elad
出版情報: New York, NY : Springer Science+Business Media, LLC, 2010
オンライン: http://dx.doi.org/10.1007/978-1-4419-7011-4
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8. Four Short Courses on Harmonic Analysis : Wavelets, Frames, Time-Frequency Methods, and Applications to Signal and Image Analysis
edited by Brigitte Forster, Peter Massopust
出版情報: Boston, MA : Birkhäuser Boston, 2010
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4891-6
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9. System Identification with Quantized Observations
by Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
出版情報: Boston : Springer Science+Business Media, LLC, 2010
シリーズ名: Systems & Control: Foundations & Applications ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4956-2
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10. A First Course in Statistics for Signal Analysis
by Wojbor A. Woyczynski
出版情報: Boston : Springer Science+Business Media, LLC, 2011
オンライン: http://dx.doi.org/10.1007/978-0-8176-8101-2
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11. Handbook of Mathematical Methods in Imaging
edited by Otmar Scherzer
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
オンライン: http://dx.doi.org/10.1007/978-0-387-92920-0
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12. A Basis Theory Primer : Expanded Edition
by Christopher Heil
出版情報: Boston : Springer Science+Business Media, LLC 2011, 2011
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4687-5
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13. A Friendly Guide to Wavelets
by Gerald Kaiser
出版情報: Boston : Gerald Kaiser, 2011
シリーズ名: Modern Birkhäuser Classics ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-8111-1
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14. Wavelets and Multiscale Analysis : Theory and Applications
edited by Jonathan Cohen, Ahmed I. Zayed
出版情報: Boston : Springer Science+Business Media, LLC, 2011
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-8095-4
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15. Computer Vision Using Local Binary Patterns
by Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
出版情報: London : Springer-Verlag London Limited, 2011
シリーズ名: Computational Imaging and Vision ; 40
オンライン: http://dx.doi.org/10.1007/978-0-85729-748-8
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16. Selected Unsolved Problems in Coding Theory. 1
by David Joyner, Jon-Lark Kim
出版情報: Boston : Springer Science+Business Media, LLC, 2011
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-8256-9
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17. Approximation Theory : From Taylor Polynomials to Wavelets
by Ole Christensen, Khadija L. Christensen
出版情報: Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2005
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4448-2
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Preface
Approximation with Polynomials
Infinite Series
Fourier Analysis
Wavelets and Applications
Wavelets and their Mathematical Properties
Appendix A
Appendix B
References
Index
Preface
Approximation with Polynomials
Infinite Series
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18. Shearlets : Multiscale Analysis for Multivariate Data
edited by Gitta Kutyniok, Demetrio Labate
出版情報: Boston : Birkhäuser Boston, 2012
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-8316-0
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19. Introductory Time Series with R
by Andrew V. Metcalfe, Paul S.P. Cowpertwait
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Use R ;
オンライン: http://dx.doi.org/10.1007/978-0-387-88698-5
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20. Principles and Theory for Data Mining and Machine Learning
by Bertrand Clarke, Ernest Fokoue, Hao Helen Zhang
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-98135-2
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21. Variational Methods in Imaging
by Otmar Scherzer, Markus Grasmair, Harald Grossauer, Markus Haltmeier, Frank Lenzen ; edited by S.S. Antman, J.E. Marsden, L. Sirovich
出版情報: New York, NY : Springer Science+Business Media LLC, 2009
シリーズ名: Applied Mathematical Sciences ; 167
オンライン: http://dx.doi.org/10.1007/978-0-387-69277-7
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22. Maximum Penalized Likelihood Estimation : Volume II: Regression
by Vincent N. LaRiccia, Paul P. Eggermont
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/b12285
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23. Finite Frames : Theory and Applications
edited by Peter G. Casazza, Gitta Kutyniok
出版情報: Boston : Birkhäuser Boston : Imprint: Birkhäuser, 2013
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-8373-3
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Introduction
Constructing Finite Frames with a Given Spectrum.-Spanning and Independence Properties of Finite.-Alegebraic Geometry and Finite Frames
Group Frames
Gabor Framses in Finite Dimensions
Frames as Codes
Quantization and Finite Frames
Finite Frames for Sparse Signal Processing
Finite Frames and Filter Banks
Finite Frame theory in Pure Mathematics
Probabilitstic Frames
Fusion Frames
Introduction
Constructing Finite Frames with a Given Spectrum.-Spanning and Independence Properties of Finite.-Alegebraic Geometry and Finite Frames
Group Frames
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24. Excursions in Harmonic Analysis, Volume 1 : The February Fourier Talks at the Norbert Wiener Center
edited by Travis D. Andrews, Radu Balan, John J. Benedetto, Wojciech Czaja, Kasso A. Okoudjou
出版情報: Boston : Birkhäuser Boston : Imprint: Birkhäuser, 2013
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-8376-4
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Part 1 Sampling Theory
Unions of Subspaces for Data Modeling and Subspace Clustering
Fusion frames and Unbiased Basic Sequences
Sampling in Spaces of Bandlimited Functions on Commutative Spaces
Smooth Interpolation of Data by Efficient Algorithms
An Overview of Time and Multiband Limiting
A Panorama of Sampling Theory
Part II Remote Sensing
Multistatic Radar Waveforms for Imaging of Moving Targets
Exploitation Performance and Characterization of a Prototype Compressive Sensing Imaging Spectrometer
An Introduction to Hyperspectral Image Data Modeling
Hyperspectral Demixing: Sparse Recovery of Highly Correlated Endmembers
Theory of Passive Synthetic Aperture Imaging
Part III Mathematics of Data Processing
Golay-Rudin-Shapiro Polynomials and Phased Arrays
Multi-Resolution Geometric Analysis for Data in High Dimensions
On the Fourth-Order Structure Function of a Fractal
Harmonic Analysis of Databases and Matrices
The Structure of Sidelobe-Preserving Operator Groups
Zeros of some Self-Reciprocal Polynomials
Part IV Applications of Data Processing
Generalized Mutual Interdependence Analysis of Noisy Channels
Approximation Methods for the Recovery of Shapes and Images from Gradients
FM Perturbations due to Near-Identity Linear Systems
Eddy Current Sensor Signal Processing for Stall Detection
State Dependent Channels: Strong Converse and Bounds on Reliability Function
Part 1 Sampling Theory
Unions of Subspaces for Data Modeling and Subspace Clustering
Fusion frames and Unbiased Basic Sequences
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25. Excursions in Harmonic Analysis, Volume 2 : The February Fourier Talks at the Norbert Wiener Center
edited by Travis D. Andrews, Radu Balan, John J. Benedetto, Wojciech Czaja, Kasso A. Okoudjou
出版情報: Boston : Birkhäuser Boston : Imprint: Birkhäuser, 2013
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-8379-5
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Part V Measure Theory
Absolute Continuity and Singularity of Measures Without Measure Theory
Visible and Invisible Cantor Sets
Convolution Inequalities for Positive Borel Measures on R^d and Beurling Density
Positive Operator-Valued Measures: A General Setting for Frames
Part VI Filtering
Extending Wavelet Filters, Infinite Dimensions, the Non-Rational Case, and Indefinite-Inner Product Spaces
On the Group-Theoretic Structure of Lifted Filter Banks
Parametric Optimization of Biorthogonal Wavelets and Filterbanks via Pseudoframes for Subspaces
On the Convergence of Iterative Filtering Empirical Mode Decomposition
Wavelet Transforms by Nearest Neighbor Lifting
Part VII Operator Theory
On the Heat Kernel of a Left Invariant Elliptic Operator
Mixed-Norm Estimates for the k-Plane Transform
Representation of Linear Operators by Gabor Multipliers
Extensions of Berezin-Lieb Inequalities
Bilinear Calderon-Zygmund Operators
Weighted Inequalities and Dyadic Harmonic Analysis
Part VIII Biomathematics
Enhancement and Recovery in Atomic Force Micosopy Images
Numerical Harmonic Analysis and Diffusions on the 3D-Motion Group
Quantification of Retinal Chromophores Through Autofluorescence Imaging to Identify Precursors of Age-Related Macular
Simple Harmonic Oscillator Based Reconstruction and Estimation for One-Dimensional q-Space Magnetic Resonance (1D-SHORE)
Fourier Blues: Structural Coloration of Biological Tissues
A Harmonic Analysis View On Neuroscience Imaging
Part V Measure Theory
Absolute Continuity and Singularity of Measures Without Measure Theory
Visible and Invisible Cantor Sets
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26. Prolate Spheroidal Wave Functions of Order Zero : Mathematical Tools for Bandlimited Approximation
by Andrei Osipov, Vladimir Rokhlin, Hong Xiao
出版情報: Boston, MA : Springer US : Imprint: Springer, 2013
シリーズ名: Applied Mathematical Sciences ; 187
オンライン: http://dx.doi.org/10.1007/978-1-4614-8259-8
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Introduction
Mathematical and Numerical Preliminaries
Overview
Analysis of the Differential Operator
Analysis of the Integral Operator
Rational Approximations of PSWFs.-Miscellaneous Properties of PSWFs
 Asymptotic Analysis of PSWFs
Quadrature Rules and Interpolation via PSWFs
Numerical Algorithms
Introduction
Mathematical and Numerical Preliminaries
Overview
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27. Modeling Conflict Dynamics with Spatio-temporal Data
by Andrew Zammit-Mangion, Michael Dewar, Visakan Kadirkamanathan, Anaïd Flesken, Guido Sanguinetti
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2013
シリーズ名: SpringerBriefs in Applied Sciences and Technology ;
オンライン: http://dx.doi.org/10.1007/978-3-319-01038-0
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目次情報:
Conflict Data Sets and Point Patterns
Theory
Modelling and Prediction in Conflict: Afghanistan
Conflict Data Sets and Point Patterns
Theory
Modelling and Prediction in Conflict: Afghanistan
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28. Beginning Data Science with R
by Manas A. Pathak
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2014
オンライン: http://dx.doi.org/10.1007/978-3-319-12066-9
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Introduction
Overview of the R Programming Language
Getting Data into R
Data Visualization
Exploratory Data Analysis
Regression
Classification
Text Mining.
Introduction
Overview of the R Programming Language
Getting Data into R
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29. Operator-Related Function Theory and Time-Frequency Analysis : The Abel Symposium 2012
edited by Karlheinz Gröchenig, Yurii Lyubarskii, Kristian Seip
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Abel Symposia ; 9
オンライン: http://dx.doi.org/10.1007/978-3-319-08557-9
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1 P. Abry, S. Jaffard, and H. Wendt: A bridge between geometric measure theory and signal processing: Multifractal analysis
2 D. Batenkov and Y. Yomdin: Local and global geometry of Prony systems and Fourier reconstruction of piecewise-smooth functions
3 H. Feichtinger: Elements of postmodern harmonic analysis
4 G. Kozma and A. Olevskii: Singular distributions and symmetry of the spectrum
5 I. Laba: Recent progress on Favard length estimates for planar Cantor sets
6 A. Poltoratski: Bernstein's problem on weighted polynomial approximation
7 J. Sjöstrand: Return to equilibrium, non-self-adjointness and symmetries, recent results with M. Hitrik and F. Hérau
8 S. Treil: A remark on two weight estimates for positive dyadic operators
1 P. Abry, S. Jaffard, and H. Wendt: A bridge between geometric measure theory and signal processing: Multifractal analysis
2 D. Batenkov and Y. Yomdin: Local and global geometry of Prony systems and Fourier reconstruction of piecewise-smooth functions
3 H. Feichtinger: Elements of postmodern harmonic analysis
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30. Facets of Uncertainties and Applications : ICFUA, Kolkata, India, December 2013
edited by Mihir K. Chakraborty, Andrzej Skowron, Manoranjan Maiti, Samarjit Kar
出版情報: New Delhi : Springer India : Imprint: Springer, 2015
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 125
オンライン: http://dx.doi.org/10.1007/978-81-322-2301-6
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Part I: Uncertainty Modeling
Chapter 1. Rough Sets and other Mathematics: Ten Research Programs
Chapter 2. Dealing with Uncertainty: From Rough Sets to Interactive Rough-Granular Computing
Chapter 3. An Evolutionary Approach to Secondary Membership Function Selection in Generalized Type- 2 Fuzzy Sets
Chapter 4. Specificity based defuzzification in approximate reasoning
Chapter 5. Proto-fuzzy Concepts Generation Technique Using Fuzzy Graph
Part II: Logic of Uncertainty
Chapter 6. Open World Models: a View from Rough Set Theory
Chapter 7. Approximate reasoning under type-2 fuzzy logics
Chapter 8. Approximation Dialectics of Proto-Transitive Rough Sets
Part III: Hybridization of Uncertainties
Chapter 9. A Probabilistic Approach to Information System and Rough Set Theory
Chapter 10. Uncertainty Analysis of Contaminant Transportation Through Ground Water Using Fuzzy-Stochastic Response Surface
Chapter 11. Development of a Fuzzy Random Health Risk Model
Chapter 12. Uncertainty Analysis of Retardation factor using Monte Carlo, Fuzzy set and Hybrid Approach
Part IV: Roll of Uncertainties
Chapter 13. Two Person Interaction Detection Using Kinect Sensor
Chapter 14. An Improved Genetic Algorithm and Its Application in Constrained Solid TSP in Uncertain Environments
Chapter 15. A Novel Soft theoretic AHP Model for Project Management in Multi-Criteria Decision Making Problem
Chapter 16. An Application of Weighted Neutrosophic Soft Sets in a Decision Making Problem
Chapter 17. Approximate Reasoning in Management of Hypertension
Chapter 18. The Hesitant Fuzzy Soft Set and its Application in Decision Making
Chapter 19. On Fuzzy Ideal Cone Method to Capture Entire Fuzzy Non-dominated Set of Fuzzy Multi-criteria Optimization Problems with Fuzzy Parameters
Chapter 20. A Bi-Objective Solid Transportation Model under Uncertain Environment
Chapter 21. A Food web Population Model in Deterministic and Stochastic Environment
Chapter 22. Computational Method for High-order Weighted Fuzzy Time Series Forecasting Based on Multiple Partitions
Chapter 23. Portfolio Selection with Possibilistic Kurtosis
Chapter 24. Conflicting Bifuzzy Preference Relations based Method for Multi Criteria Decision Making Problems
Chapter 25. A Linear Goal Programming Method for Solving Chance Constrained Multi objective Problems with Interval Data Uncertainty.
Part I: Uncertainty Modeling
Chapter 1. Rough Sets and other Mathematics: Ten Research Programs
Chapter 2. Dealing with Uncertainty: From Rough Sets to Interactive Rough-Granular Computing
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31. Sampling Theory, a Renaissance : Compressive Sensing and Other Developments. 1st ed. 2015
edited by Götz E. Pfander
出版情報: Cham : Springer International Publishing : Imprint: Birkhäuser, 2015
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-3-319-19749-4
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Part I: Sparsity Models
Estimation in High Dimensions: A Geometric Perspective
Convex Recovery of a Structured Signal from Independent Random Linear Measurements
Low Complexity Regularization of Linear Inverse Problems
Part II: Frames with Benefits
Noise-shaping Quantization Methods for Frame-based and Compressive Sampling Systems
Fourier Operations in Applied Harmonic Analysis
The Fundamentals of Spectral Tetris Frame Constructions
Part III: Bandlimitation Recast
System Approximation and Generalized Measurements in Modern Sampling Theory
Entire Functions in Generalized Bernstein Spaces and Their Growth Behavior
Sampling and Geometry
A Sheaf-theoretic Perspective on Sampling
Part IV: Solutions of Parametric PDEs
How to Best Sample a Solution Manifold?
On the Stability of Polynomial Interpolation using Hierarchical Sampling
Part V: Implementation
OperA: Operator-based Annihilation for Finite-Rate-of-Innovation Signal Sampling
Digital Adaptive Calibration of Data Converters using Independent Component Analysis
Part I: Sparsity Models
Estimation in High Dimensions: A Geometric Perspective
Convex Recovery of a Structured Signal from Independent Random Linear Measurements
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32. From Fourier Analysis to Wavelets. 1st ed. 2015
by Jonas Gomes, Luiz Velho
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: IMPA Monographs ; 3
オンライン: http://dx.doi.org/10.1007/978-3-319-22075-8
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Introduction
Function Representation and Reconstruction
The Fourier Transform
Windowed Fourier Transform
The Wavelet Transform
Multiresolution Representation
The Fast Wavelet Transform
Filter Banks and Multiresolution
Constructing Wavelets
Wavelet Design
Orthogonal Wavelets
Biorthogonal Wavelets
Directions and Guidelines
Appendices
Introduction
Function Representation and Reconstruction
The Fourier Transform
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33. Modern Nonparametric, Robust and Multivariate Methods : Festschrift in Honour of Hannu Oja. 1st ed. 2015
edited by Klaus Nordhausen, Sara Taskinen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
オンライン: http://dx.doi.org/10.1007/978-3-319-22404-6
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Foreword
Preface
Part I: Remarks About Hannu Oja’s Career and Publications
Part II: Univariate Nonparametric and Robust Methods
Part III: Nonparametric and Robust Methods for Multivariate and Functional Data
Part IV: Invariant Coordinate Selection and Related Methods
Foreword
Preface
Part I: Remarks About Hannu Oja’s Career and Publications
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34. Functional Statistics and Applications : Selected Papers from MICPS-2013. 1st ed. 2015
edited by Elias Ould Saïd, Idir Ouassou, Mustapha Rachdi
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Contributions to Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-319-22476-3
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Preface
Part I: Functional Statistics
Attaoui, Laksaci and Ould Saïd: Asymptotic Results for an M-Estimator of the Regression Function for Quasi-Associated Processes
Badaoui and Rhomari: BlockShrink Wavelet Density Estimator in φ-Mixing Framework
Benchikh: Approximation of Strictly Stationary Banach-Valued Random Sequence by Fourier Integral
Girard and Louhichi: On the Strong Consistency of the Kernel Estimator of Extreme Conditional Quantiles
Naceri, Laksaci and Rachdi: Exact Quadratic Error of the Local Linear Regression Operator Estimator for Functional Covariates
Ouassou: Estimation of a Loss Function for Spherically Symmetric Distribution with Constraints on the Norm
Part II: Applications (Queuing Theory, Signal Analysis, Epidemiology)
Bareche and Aïssani: Impact of Nonparametric Density Estimation on the Approximation of the G/G/1 Queue by the M/G/1 One
Boualem, Cherfaoui, Djellab and Aïssani: Stochastic Analysis of an M/G/1 Retrial Queue with FCFS
Demongeot, Hamie, Hansen and Rachdi: Dynalets: A New Tool for Biological Signal Processing
Demongeot, Ghassani, Hazgui and Rachdi: Demography in Epidemics Modelling: The Copula Approach
Index
Preface
Part I: Functional Statistics
Attaoui, Laksaci and Ould Saïd: Asymptotic Results for an M-Estimator of the Regression Function for Quasi-Associated Processes
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35. Intelligent Algorithms in Ambient and Biomedical Computing
edited by Wim Verhaegh, Emile Aarts, Jan Korst
出版情報: Dordrecht : Springer, 2006
オンライン: http://dx.doi.org/10.1007/1-4020-4995-1
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36. Analysis and Probability Wavelets, Signals, Fractals
by Palle E.T. Jorgensen
出版情報: New York, NY : Springer Science+Business Media, LLC, 2006
シリーズ名: Graduate Texts in Mathematics ; 234
オンライン: http://dx.doi.org/10.1007/978-0-387-33082-2
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37. Error-Correcting Linear Codes : Classification by Isometry and Applications
by Anton Betten, Michael Braun, Harald Fripertinger, Adalbert Kerber, Axel Kohnert, Alfred Wassermann
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2006
シリーズ名: Algorithms and Computation in Mathematics ; 18
オンライン: http://dx.doi.org/10.1007/3-540-31703-1
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38. Classification Algorithms for Codes and Designs
by Petteri Kaski, Patric R.J. Östergård
出版情報: Berlin, Heidelberg : Springer, 2006
シリーズ名: Algorithms and Computation in Mathematics ; 15
オンライン: http://dx.doi.org/10.1007/3-540-28991-7
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39. Algorithmic Information Theory : Mathematics of Digital Information
by Peter Seibt
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2006
シリーズ名: Signals and Communication Technology ;
オンライン: http://dx.doi.org/10.1007/978-3-540-33219-0
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40. Bayesian Core: A Practical Approach to Computational Bayesian Statistics
by Jean-Michel Marin, Christian P. Robert
出版情報: New York, NY : Springer Science+Business Media, LLC, 2007
シリーズ名: Springer Texts in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-38983-7
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41. Simulation and Inference for Stochastic Differential Equations : With R Examples
by Stefano M. Iacus
出版情報: New York, NY : Springer-Verlag New York, 2008
シリーズ名: Springer Series in Statistics ; 1
オンライン: http://dx.doi.org/10.1007/978-0-387-75839-8
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42. Modern Multivariate Statistical Techniques : Regression, Classification, and Manifold Learning
by Alan Izenman
出版情報: New York, NY : Springer-Verlag New York, 2008
シリーズ名: Springer Texts in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-78189-1
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43. From Gestalt Theory to Image Analysis : A Probabilistic Approach
by Agnés Desolneux, Lionel Moisan, Jean-Michel Morel
出版情報: New York, NY : Springer Science + Business Media, LLC, 2008
シリーズ名: Interdisciplinary Applied Mathematics ; 34
オンライン: http://dx.doi.org/10.1007/978-0-387-74378-3
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44. Frames and Bases : An Introductory Course
by Ole Christensen
出版情報: Boston : Birkhäuser Boston, 2008
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4678-3
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45. Embracing Industry 4.0 : Selected Articles from MUCET 2019. 1st ed. 2020
edited by Mohd Azraai Mohd Razman, Jessnor Arif Mat Jizat, Nafrizuan Mat Yahya, Hyun Myung, Amar Faiz Zainal Abidin, Mohamad Shaiful Abdul Karim
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
シリーズ名: Lecture Notes in Electrical Engineering ; 678
オンライン: https://doi.org/10.1007/978-981-15-6025-5
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目次情報: 続きを見る
An Adaptive Self-Assessment Model for Improving Student Performance in Language Learning using Massive Open Online Course (MOOC)
Assessment on Average Participation Versus Bialek’s Methods for Transmission Usage Evaluation Scheme
Field-effect Transistor-based Biosensor Optimization: Single Versus Array Silicon Nanowires Configuration
Top-Down Fabrication of Silicon Nanogap for Detection of Dengue Virus (DENV)
Design and Performance Analysis of IoT Based Sensor System using LoRa
A PSPT-MAC mechanism for congestion avoidance in Wireless Body Area Network
A Planar Slotted RCS based UWB RFID Tag on A PCB and A Flexible Substrate for Packaging Application
Design and Analysis of Automated Inspection System for Relays Fault Detection
Visible Light Communication-Based Indoor Notification System for Blind People
An Adaptive Self-Assessment Model for Improving Student Performance in Language Learning using Massive Open Online Course (MOOC)
Assessment on Average Participation Versus Bialek’s Methods for Transmission Usage Evaluation Scheme
Field-effect Transistor-based Biosensor Optimization: Single Versus Array Silicon Nanowires Configuration
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46. Sampling: Theory and Applications : A Centennial Celebration of Claude Shannon. 1st ed. 2020
edited by Stephen D. Casey, Kasso A. Okoudjou, Michael Robinson, Brian M. Sadler
出版情報: Cham : Springer International Publishing : Imprint: Birkhäuser, 2020
シリーズ名: Applied and Numerical Harmonic Analysis ;
オンライン: https://doi.org/10.1007/978-3-030-36291-1
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Claude Shannon: American Genius
Reconstruction of Signals: Uniqueness and Stable Sampling
Sampling Theory in a Fourier Algebra Setting
Sampling Series, Refinable Sampling Kernels, and Frequency Band Limited Functions
Prolate Shift Frames and Sampling of Bandlimited Functions
A Survey on the Unconditional Convergence and the Invertibility of Frame Multipliers with Implementation
Claude Shannon: American Genius
Reconstruction of Signals: Uniqueness and Stable Sampling
Sampling Theory in a Fourier Algebra Setting
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47. New Trends in Computational Vision and Bio-inspired Computing : Selected works presented at the ICCVBIC 2018, Coimbatore, India. 1st ed. 2020
edited by S. Smys, Abdullah M. Iliyasu, Robert Bestak, Fuqian Shi
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-41862-5
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Chapter 1: Image Encryption based on 3 Dimensional Multi Linear (3D-MLT) Chaotic Transformation
Chapter 2: A Computer Vision Based Approach for Object Recognition in Smart Buildings
Chapter 3: A Cascade Color Image Retrieval Framework for Image Retrieval
Chapter 4: Enhanced Geographical Information System Architecture for Geospatial Data
Chapter 5: IoT Based Power Management and Condition Monitoring in Microgrid
Chapter 6: A Comparative performance study of cloud resource scheduling techniques
Chapter 7: Image Context Based Similarity Retrieval System
Chapter 8: Emotions Recognition from Spoken Marathi Speech using LPC and PCA Technique
Chapter 9: Implementation of Point Of Care system Using Bio-Medical Signal Stegano-graphy
Chapter 10: Privacy assurance with content based access protocol to secure cloud storage
Chapter 11: Leaf Recognition using Artificial Neural Network
Chapter 12: Data Security in Cloud Using RSA and GNFS Algorithms - An Integrated Approach
Chapter 13: Machine Learning Supported Statistical Analysis of IoT Enabled Physical Location Monitoring Data
Chapter 14: A Genetic Algorithm based System with Different Crossover Operators for Solving the Course Allocation Problem of Universities
Chapter 15: Detecting Anomalies in Credit Card Transaction Using Efficient Techniques
Chapter 16: Secure Data Processing System using Decision Tree Architecture
Chapter 17: A Novel Framework for Detection of Morphed images using Deep Learning Techniques
Chapter 18: A Novel Non-invasive Framework for Predicting Bilirubin Levels
Chapter 19: A Comprehensive Study on the Load Assessment Techniques in Cloud Data Center
Chapter 20: Multimodal biometric system using Ear and Palm Vein recognition based on GwPeSOA - Multi-SVNN for security applications
Chapter 21: E-Agriculture
Chapter 22: Ultra Wide Band Monopole Antenna Design by Using Split Ring Resonator
Chapter 23: Green supply chain management of chemical Industrial development for warehouse and its impact on the environment using artificial bee colony algorithm: A Review Articles
Chapter 24: A Novel Dyno-Quick Reduct Algorithm For Heart Disease Prediction Using Supervised Learning Algorithm
Chapter 25: Impact of Meltdown and Spectre Threats in Parallel Processing
Chapter 26: Algorithm For Finding Minimum Dominating Set Using Sticker Based Model In Dna Computing
Chapter 27: Assistive Technology Evolving as Intelligent System
Chapter 28: A Bio Potential Sensor Circuit of AFE DesignWith CT ∑-∆ Modulator
Chapter 29: Image Encryption based on Transformation and Chaotic Substitution
Chapter 30: An Efficient Geographical Opportunistic Routing Algorithm Using Diffusion and Sparse Approximation Models for Cognitive Radio Ad Hoc Networks
Chapter 31: Traffic Violation Tracker and Controller
Chapter 32: PTCWA: Performance Testing of Cloud based Web Applications
Chapter 33: Analysis of Regularized Echo State Networks on the Impact of Air Pollutants on Human Health
Chapter 34: Detection of Cancer by Biosensor through Optical Lithography
Chapter 35: Paradigms in Computer Vision: Biology Based Carbon Domain Postulates Nano Electronic Devices for Generation Next
Chapter 36: A Secure Authenticated Bio-Cryptosystem Using Face Attribute Based On Fuzzy Extractor
Chapter 37: Implementation of Scan logic and Pattern generation for RTL Design
Chapter 38: Optimization Load Balancing Over Imbalance Datacenter Topology
Chapter 39: Text Attentional Character Detection using Morphological Operations: A Survey
Chapter 40: IoT Based Environment Monitoring System
Chapter 41: Design & Development of Algorithms for Detection of Glaucoma Using Water Shed Algorithm
Chapter 42: A novel development of glaucoma detection technique using the water shed algorithm
Chapter 43: Solutions of Viral Dynamics in Hepatitis B Virus Infection using HPM
Chapter 44: A Mathematıcal Modelıng Of Dengue Fever For The Dynamıcs System Usıng HAM
Chapter 45: Vision-based Robot for Boiler Tube Inspection
Chapter 46: Qualitative Study on Data Mining Algorithms for classification of Mammogram Images
Chapter 47: Designing a framework for data migration of Odoo ERP PostgreSQL database into NoSQL database
Chapter 48: Juxtaposition on classifiers in modeling Hepatitis Diagnosis Data
Chapter 49: Voltage Stabilization By Using Buck Converters In The Integration Of Renewable Energy Into The Grid
Chapter 50: OCR System For Recognition of Used Printed Com-ponents For Recycling
Chapter 51: Modern WordNet: An Affective Extension of WordNet
Chapter 52: Analysis of Computational Intelligence Techniques for Path Planning
Chapter 53: Techniques for Analysis of the Effectiveness of Yoga through EEG Signals: A Review
Chapter 54: Multiobjective integrated stochastic and deterministic search method for economic emission dispatch problem
Chapter 55: Enhanced webpage prediction using Rank based Feedback Process
Chapter 56: A study on distance based representation of molecules for statistical learning
Chapter 57: Comparative Analysis of Evolutionary Approaches and computational methods for optimization in Data Clustering
Chapter 58: Bringing Digital Transformation from a Traditional RDBMS Centric Solution to a Big Data Platform with Azure Data Lake Store
Chapter 59: Smart Assist For Alzheimer’s Patients And Elderly People
Chapter 60: An Unconstrained Rotation Invariant Approach For Document Skew Estimation And Correction
Chapter 61: Smart Assistive Shoes For Blind
Chapter 62: Comparative study on Various techniques involved in designing a Computer Aided Diagnosis (CAD) System for mammogram classification
Chapter 63: Traffic Flow Prediction Using Regression and Deep Learning Approach
Chapter 64: A Comparative Study on Assessment of Carotid Artery Using various Techniques
Chapter 65: Evaluation of Fingerprint Minutiae on Ridge Structure Using Gabor and Closed hull Filters
Chapter 66: A Perspective View on Sybil Attack Defense Mechanisms in Online Social Networks
Chapter 67: Minor Finger Knuckle Print Image Enhancement using CLAHE Technique
Chapter 68: Learning Path Construction Based On Ant Colony Optimization and Genetic Algorithm
Chapter 69: Pneumonia Detection And Classification Using Chest X-Ray Images With Convolutional Neural Network
Chapter 70: Juxtaposition on classifiers in modeling Hepatitis Diagnosis Data
Chapter 71: An Optimized Approach Of Outlier Detection Algorithm for Outlier Attributes on Data Streams
Chapter 72: Indo – Pak Sign Language Translator Using Kinect
Chapter 73: Semantic interoperability for a defining Query
Chapter 74: Gestational Diabetics prediction using Logisitic Regression in R
Chapter 75: IOT Based Gas Pressure Detection for LPG with real time No SQL Database
Chapter 76: Hybrid Steerable Pyramid with DWT for Multiple Medi-cal Image Watermarking and Extraction using ICA
Chapter 77: Dimensional & Spatial Analysis of Ultrasound Imaging through Image Processing - A Review
Chapter 78: A Review on methods to handle Uncertainty
Chapter 79: Identity-based Hashing and Light Weight Signature Scheme for IoT
Chapter 80: Adaptive Particle Swarm Optimization Based Wire-length Minimization for Placement in FPGA
Chapter 81: Clustering of Various Diseases by Collagen Gene Using the Positional Factor
Chapter 82: Prediction Of Water Demand For Domestic Purpose Using Multiple Linear Regression
Chapter 83: Implementation of Regression Analysis using Regression Algorithms for Decision Making In Business Domains
Chapter 84: Blockchain Based System for Human Organ Transplantation Management
Chapter 85: Identification of Melanoma using Convolutional Neural Networks for Non Dermoscopic Images
Chapter 86: Exploitation Of Data Mining To Analyse Realistic Facts From Road Traffic Accident Data
Chapter 87: A Deep Learning Approach for Segmenting Time-Lapse Phase Contrast Images of NIH 3T3 Fibroblast Cells
Chapter 88: Flow distribution-aware load balancing for the data centre over cloud services with virtualization
Chapter 89: Disease severity diagnosis for rice using Fuzzy Verdict Method
Chapter 90: HELPI VIZ: A Semantic image Annotation and Visualization Platform for Visually Impaired
Chapter 91: A Survey of Multi - Abnormalities Disease Detection and Classification in WCE
Chapter 92: Detection of Alzheimer's Disease in Brain MR Images using Hybrid Local Graph Structure
Chapter 93: A Review on Object Tracking Wireless Sensor Network an Approach For Smart Surveilliance
Chapter 94: A Mini Review on Electrooculogram Based Rehabilitation Methods Using Bioengineering Technique for Neural Disorder Persons
Chapter 95: Applications Using Machine Learning Algorithms for Developing Smart Systems
Chapter 96: Benchmarking of Digital Forensic Tools
Chapter 97: An Item Based Collaborative Filtering For Similar Movie Search
Chapter 98: Identification of Musical Instruments Using MFCC Features
Chapter 99: An Instance Identification Using Randomized Ring Matching via Score Generation
Chapter 100: Performance Improvement of Multi-Channel Speech Enhancement using Modified Intelligent Kalman Filtering Algorithm
Chapter 101: A Collaborative Method for Minimizing Tampering of Image with commuted concept of Frazile Watermarking
Chapter 102: Interval Type-2 Fuzzy Logic Based Decision Support System for Cardiac Risk Assessment
Chapter 103: Classification Of Multi-Retinal Disease Based On Retinal Fundus Image Using Convolutional Neural Network
Chapter 104: Accurate Techniques of Thickness and Volume Measurement of Cartilage from Knee Joint MRI using Semiautomatic Segmentation Methods
Chapter 105: A Hybrid Approach Using Machine Learning Algorithm For Prediction Of Stock Arcade Price Index
Chapter 106: Disease severity diagnosis for rice u
Chapter 1: Image Encryption based on 3 Dimensional Multi Linear (3D-MLT) Chaotic Transformation
Chapter 2: A Computer Vision Based Approach for Object Recognition in Smart Buildings
Chapter 3: A Cascade Color Image Retrieval Framework for Image Retrieval
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48. Fashion Recommender Systems. 1st ed. 2020
edited by Nima Dokoohaki
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Lecture Notes in Social Networks ;
オンライン: https://doi.org/10.1007/978-3-030-55218-3
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Part 1. Cold Start in Recommendations
Chapter 1. Fashion Recommender Systems in Cold Start ( Mehdi Elahi)
Part 2. Complementary and Session Based Recommendation
Chapter 2. Enabling Hyper-Personalisation: Automated AdCreative Generation and Ranking for Fashion e-Commerce (Sreekanth Vempati)
Chapter 3. Two-Stage Session-based Recommendations with Candidate Rank Embeddings (Jose Antonio Sanchez Rodrguez)
Part 3. Outfit Recommendations
Chapter 4. Attention-based Fusion for Outfit Recommendation (Katrien Laenen)
Chapter 5. Outfit2Vec: Incorporating Clothing Hierarchical MetaData into Outfits’ Recommendation (Shatha Jaradat)
Part 4. Sizing and Fit Recommendations
Chapter 6. Learning Size and Fit from Fashion Images (Nour Karessli)
Part 5. Generative Outfit Recommendation
Chapter 7. Generating High-Resolution Fashion Model Images Wearing Custom Outfits (Gokhan Yildirim)
Part 1. Cold Start in Recommendations
Chapter 1. Fashion Recommender Systems in Cold Start ( Mehdi Elahi)
Part 2. Complementary and Session Based Recommendation
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49. Singular Spectrum Analysis for Time Series. 2nd ed. 2020
by Nina Golyandina, Anatoly Zhigljavsky
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2020
シリーズ名: SpringerBriefs in Statistics ;
オンライン: https://doi.org/10.1007/978-3-662-62436-4
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1 Introduction
1.1 Overview of SSA methodology and the structure of the book
1.2 SSA and other techniques
1.3 Computer implementation of SSA
1.4 Historical and bibliographical remarks
1.5 Common symbols and acronyms
2 Basic SSA - 2.1 The main algorithm
2.2 Potential of Basic SSA
2.3 Models of time series and SSA objectives
2.4 Choice of parameters in Basic SSA
2.5 Some variations of Basic SSA
2.6 Multidimensional and multivariate extensions of SSA
3 SSA for forecasting, interpolation, filtering and estimation
3.1 SSA forecasting algorithms
3.2 LRR and associated characteristic polynomials
3.3 Recurrent forecasting as approximate continuation
3.4 Confidence bounds for the forecasts
3.5 Summary and recommendations on forecasting parameters
3.6 Case study: ‘Fortified wine’
3.7 Imputation of missing values
3.8 Subspace-based methods and estimation of signal parameters
3.9 SSA and filters
3.10 Multidimensional/Multivariate SSA
1 Introduction
1.1 Overview of SSA methodology and the structure of the book
1.2 SSA and other techniques
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50. Foundations of Discrete Harmonic Analysis. 1st ed. 2020
by Vasily N. Malozemov, Sergey M. Masharsky
出版情報: Cham : Springer International Publishing : Imprint: Birkhäuser, 2020
シリーズ名: Lecture Notes in Applied and Numerical Harmonic Analysis ;
オンライン: https://doi.org/10.1007/978-3-030-47048-7
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1 Preliminaries
2 Signal Transforms
3 Spline Subspaces
4 Fast Algorithms
Solutions
References
Index
1 Preliminaries
2 Signal Transforms
3 Spline Subspaces
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51. Domain Adaptation in Computer Vision with Deep Learning. 1st ed. 2020
edited by Hemanth Venkateswara, Sethuraman Panchanathan
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-45529-3
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Preface
Part I: Introduction
Chapter 1: Introduction to Domain Adaptation
Chapter 2: Shallow Domain Adaptation
Part II: Domain Alignment in the Feature Space
Chapter 3: d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
Chapter 4: Deep Hashing Network for Unsupervised Domain Adaptation
Chapter 5: Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
Part III: Domain Alignment in the Image Space
Chapter 6: Unsupervised Domain Adaptation with Duplex Generative Adversarial Network
Chapter 7: Domain Adaptation via Image to Image Translation
Chapter 8: Domain Adaptation via Image Style Transfer
Part IV: Future Directions in Domain Adaptation
Chapter 9: Towards Scalable Image Classifier Learning with Noisy Labels via Domain Adaptation
Chapter 10: Adversarial Learning Approach for Open Set Domain Adaptation
Chapter 11: Universal Domain Adaptation
Chapter 12: Multi-source Domain Adaptation by Deep CockTail Networks
Chapter 13: Zero-Shot Task Transfer
Preface
Part I: Introduction
Chapter 1: Introduction to Domain Adaptation