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ICML
2009
IEEE
16 years 5 months ago
Multi-view clustering via canonical correlation analysis
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,...
IDA
2009
Springer
15 years 11 months ago
Canonical Dual Approach to Binary Factor Analysis
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...
Ke Sun, Shikui Tu, David Yang Gao, Lei Xu
COMPSAC
2007
IEEE
15 years 11 months ago
Decision Support for Dynamic Adaptation of Business Systems Based on Feature Binding Analysis
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...
Liwei Shen, Xin Peng, Wenyun Zhao
WEBI
2007
Springer
15 years 11 months ago
Geographically-Sensitive Link Analysis
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...
Hyun Chul Lee, Haifeng Liu, Renée J. Miller
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
15 years 11 months ago
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering
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...
Tobias Schreck, Daniel A. Keim, Christian Panse