Yun Fu: 4 books

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...

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...

When fibres in a composite are discontinuous and are shorter than a few millimetres, the composite is called a ‘short fibre reinforced composite (SFRP)’. SFRPs have found extensive applications in automobiles, business machines, durable consumer items, sporting goods and electrical industries...

This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’...