Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu,...
Abstract. Binary Factor Analysis (BFA) is a typical problem of Independent Component Analysis (ICA) where the signal sources are binary. Parameter learning and model selection in B...
Dynamic evolution has been an essential requirement for more and more business systems which attempt to provide 7(days) x 24(hours) availability and flexible adaptability on the c...
Many web pages and resources are primarily relevant to certain geographic locations. For example, in many queries web pages on restaurants, hotels, or movie theaters are only rele...
The Feature Vector approach is one of the most popular schemes for managing multimedia data. For many data types such as audio, images, or 3D models, an abundance of different Fea...