Deep Learning through Sparse and Low-Rank Modeling (Computer Vision and Pattern Recognition) - Image 1

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Academic Press Deep Learning through Sparse and Low-Rank Modeling (Computer Vision and Pattern Recognition)

Name: Deep Learning through Sparse and Low-Rank Modeling (Computer Vision and Pattern Recognition)
Brand: Academic Press
Price: 76.95 GBP
Availability: InStock

Networking & Security

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Description

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.

Product Specifications

Brand: Academic Press
Format: paperback
ASIN: 0128136596
Category: Books > Subjects > Computing & Internet > Networking & Security
Domain: Amazon UK
Release Date: 26 April 2019
Listed Since: 09 February 2018

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Academic Press Deep Learning through Sparse and Low-Rank Modeling (Computer Vision and Pattern Recognition)

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