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Deep Learning Through Sparse and Low-Rank Modeling

Deep Learning Through Sparse and Low-Rank Modeling

by Wang, Zhangyang
No customer reviews yet ISBN 9780128136591 Academic Press

Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models--those that emphasize problem-specific Interpretability--with recent deep network models that have enabled a larger learning capacity and better utilization of Big Data. It shows how the toolkit of deep learning is closely tied with the sparse/low rank methods and algorithms, providing a rich variety of theoretical and analytic tools to guide the design and interpretation of deep learning models. The development of the theory and models is supported by a wide variety of applications in computer vision, machine learning, signal processing, and data mining.

This book will be highly useful for researchers, graduate students and practitioners working in the fields of computer vision, machine learning, signal processing, optimization and statistics.

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Product details

BrandAcademic Press
Pub dateApr 12, 2019
ISBN-100128136596
ISBN-139780128136591
LanguageEnglish
Dimensions9.25 × 0.67 × 7.52 in
Weight1 lb
Last updated 2026-04-24 13:15
$115.75
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