
Sách Deep Learning through Sparse and Low-Rank Modeling (Computer Vision and Pattern Recognition) (Sách keo gáy, bìa mềm)
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.
Thể loại:Self-Help, Relationships & Lifestyle - Health - Diseases & Disorders
Năm:2019
Ngôn ngữ:english
Trang:296
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