This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book...

This research book presents some specific multimedia systems that have been developed and applied in practice. More specifically, it consists of an editorial, an introductory chapter and six chapters as below.

- Use of Multi-attribute Decision Making for Combining Audio-Lingual and Visual-Facial Modalities in Emotion Recognition.

. Cooperative Learning assisted by Automatic Classification within Social Networking Services.

. Improving Peer-to-Peer Communication in e-Learning by Development of an Advanced Messaging System.

- Fuzzy-based Digital Video...