
Автор: Zhangyang Wang, Yun Fu, Thomas S Huang
Издательство: Academic Press
ISBN: 9780128136591
Год: 2019
Страниц: 281
Язык: английский
Формат: pdf (true)
Размер: 17.8 MB
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.