It is common wisdom that gathering a variety of views and inputs improves the process of decision...

Graph Embedding for Pattern Analysis covers theory methods, computation, and applications widely ...

Incorporating state-of-the-art techniques, this book provides complete theoretical and practical ...

It is common wisdom that gathering a variety of views and inputs improves the process of decision...

Support vector machines (SVM) have both a solid mathematical background and practical application...

Support vector machines (SVM) have both a solid mathematical background and practical application...

Graph Embedding for Pattern Recognition covers theory methods, computation, and applications wide...

This textbook offers a non-mathematical approach to machine learning, emphasizing its predictive ...

The first book of its kind to review the current status and future direction of the exciting new ...