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Image Understanding Using Sparse Representations

theory and algorithmic considerations in using sparse models for image understanding and computer vision applications. To this end, algorithms;

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Sparse Coding and Its Applications in Computer Vision

This book provides a broader introduction to the theories and applications of sparse coding techniqu;...

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A Wavelet Tour of Signal Processing

Mallat's book is the undisputed reference in this field - it is the only one that covers the essenti;...

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Wavefront Shaping and Pupil Engineering

This book presents a simple, yet comprehensive, treatment of the basic principles and applications o;...

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Sparse Representations for Radar with MATLAB (R) Examples

Although the field of sparse representations is relatively new, research activities in academic and ;...

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Handbook of Robust Low-Rank and Sparse Matrix Decomposition

Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Process;...

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Patch-Based Techniques in Medical Imaging

This book constitutes the thoroughly refereed post-workshop proceedings of the First International W;...

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Molecular Imaging in Nano MRI

The authors describe a technique that can visualize the atomic structure of molecules, it is necessa;...

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Sparse representation of High Dimensional Data for Classification

assimilated by a human. We obtained sparse representation of high dimensional dataset using Sparse Principal Component Analysis (SPCA) and Direct;

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Low Rank and Sparse Modeling for Visual Analysis

This book provides a view of low-rank and sparse computing, especially approximation, recovery, repr;...

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Robust Representation for Data Analytics

This book introduces the concepts and models of robust representation learning, and provides a set o;...

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Cambridge Studies in Advanced Mathematics

Now in paperback, this remains one of the classic expositions of the theory of wavelets from two of ;...

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Wavelets

Now in paperback, this remains one of the classic expositions of the theory of wavelets from two of ;...

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Introduction To Sparse Stochastic Processes

Providing a novel approach to sparsity, this comprehensive book presents the theory of stochastic pr;...

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Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representa

This book treats the topic of extending the adaptive filtering theory in the context of massive mult;...

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Simulation and Synthesis in Medical Imaging

This book constitutes the refereed proceedings of the First International Workshop on Simulation and;...

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Sparse Image and Signal Processing

This book presents the state of the art in sparse and multiscale image and signal processing, coveri;...

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Sparsity Based Multipath Exploitation for Through the Wall Radar Imaging

suppressing the ghost targets, but using multipath to one's advantage. With adopting the compressive sensing principle, fewer measurements are;

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Hyperspectral Image Analysis

This book reviews the state of the art in algorithmic approaches addressing the practical challenges;...

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Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing

This book reviews the state of the art in algorithmic approaches addressing the practical challenges;...

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Digital Image Processing Handbook

This book discusses the recent advances related to 'digital image processing', acknowledging the pos;...

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Python Image Processing Cookbook

solve real-world image processing problems Key Features Discover solutions to complex image processing tasks using Python tools such as scikit;

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Iterative Methods and Preconditioning for Large and Sparse Linear Systems with Applications

of large sparse and/or structured systems generated by the discretization of numerical models by using iterative solvers.;

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Multispectral Image Analysis Using the Object-Oriented Paradigm

approach. Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the Object;

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Multispectral Image Analysis Using the Object-Oriented Paradigm

approach. Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the Object;

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