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TNN
2008
182views more  TNN 2008»
15 years 7 months ago
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Ivor Wai-Hung Tsang, András Kocsor, James T...
ESORICS
2011
Springer
14 years 7 months ago
Automated Information Flow Analysis of Virtualized Infrastructures
The use of server virtualization has been growing steadily, but many enterprises still are reluctant to migrate critical workloads to such infrastructures. One key inhibitor is the...
Sören Bleikertz, Thomas Groß, Matthias ...
ICML
2009
IEEE
16 years 8 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
16 years 2 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
16 years 1 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