Thomas S Huang: 4 books

Book cover of Exploration of Visual Data
by Yong Rui, Thomas S. Huang, Sean Xiang Zhou
Language: English
Release Date: December 6, 2012

Exploration of Visual Data presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines. The two key issues...
Book cover of Sparse Coding and its Applications in Computer Vision
by Zhaowen Wang, Jianchao Yang, Haichao Zhang;Zhangyang Wang;Yingzhen Yang;Ding Liu;Thomas S Huang
Language: English
Release Date: October 28, 2015

This book provides a broader introduction to the theories and applications of sparse coding techniques in computer vision research. It introduces sparse coding in the context of representation learning, illustrates the fundamental concepts, and summarizes the most active research directions. A variety...
Book cover of Deep Learning through Sparse and Low-Rank Modeling
by Zhangyang Wang, Yun Fu, Thomas S. Huang
Language: English
Release Date: April 11, 2019

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...
Book cover of Breaking the Mold of Preservice and Inservice Teacher Education

Breaking the Mold of Preservice and Inservice Teacher Education

Innovative and Successful Practices for the Twenty-first Century

by Liz Barber, Harriet J. Bessette, Tasha Bleistein
Language: English
Release Date: February 16, 2011

This unique collection of chapters takes the reader on a tour to explore innovative preservice and inservice teacher education practices from many regions of the United States, Canada and the world. Each of the chapters offers an authentic, documentary account of successful initiatives that break...
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