This book first provides readers with basic coverage of notations, preliminary operations in tensor computations, main tensor decompositions and their properties. Based on them, a series of tensor based data analysis techniques are presented as the tensor extensions of their classical matrix counterparts, including tensor dictionary learning, low rank tensor recovery / tensor completion, coupled tensor analysis, robust principal tensor component analysis, tensor regression, logistical tensor regression, support tensor machine, multilinear discriminate analysis, tensor subspace clustering, tensor for deep learning, tensor graphical model and tensor sketch. The experimental results for a number of practical applications are provided, such as image reconstruction, image enhancement, data fusion, signal recovery, recommendation system, knowledge graph, traffic flow prediction, link prediction, environmental prediction, weather forecasting, background extraction, human pose estimation, infrared small target detection, EEG and fMRI analysis, multi-view image clustering, and neural network compression.

Book Information
ISBN 9783030743857
Author Yipeng Liu
Format Hardback
Page Count 340
Imprint Springer Nature Switzerland AG
Publisher Springer Nature Switzerland AG
Weight(grams) 155g