Robust Representation for Data Analytics Models and Applications /

• Main Authors: Li, Sheng (Author), Fu, Yun (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Advanced Information and Knowledge Processing,
• Subjects: Computer science.; Data mining.; Artificial intelligence.; Image processing.; Pattern recognition.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.; Image Processing and Computer Vision.

This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection, etc. Three types of...

Table of Contents:

• Introduction
• Fundamentals of Robust Representations
• Part 1: Robust Representation Models
• Robust Graph Construction
• Robust Subspace Learning
• Robust Multi-View Subspace Learning
• Part 11: Applications
• Robust Representations for Collaborative Filtering
• Robust Representations for Response Prediction
• Robust Representations for Outlier Detection
• Robust Representations for Person Re-Identification
• Robust Representations for Community Detection
• Index.