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CVPR
2007
IEEE
15 years 1 days ago
Variational Bayes Based Approach to Robust Subspace Learning
This paper presents a new algorithm for the problem of robust subspace learning (RSL), i.e., the estimation of linear subspace parameters from a set of data points in the presence...
Takayuki Okatani, Koichiro Deguchi
BMCBI
2010
147views more  BMCBI 2010»
13 years 10 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
INFORMATICALT
2006
89views more  INFORMATICALT 2006»
13 years 10 months ago
Investigation of Examples of E-Education Environment for Scientific Collaboration and Distance Graduate Studies, Part 1
The objective is to investigate two emerging information technologies in graduate studies and scientific cooperation. Internet is the first technology. The open source is the secon...
Jonas Mockus
EC
2006
195views ECommerce» more  EC 2006»
13 years 10 months ago
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
PAMI
1998
100views more  PAMI 1998»
13 years 9 months ago
Hilbert-Schmidt Lower Bounds for Estimators on Matrix Lie Groups for ATR
—Deformable template representations of observed imagery, model the variability of target pose via the actions of the matrix Lie groups on rigid templates. In this paper, we stud...
Ulf Grenander, Michael I. Miller, Anuj Srivastava