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» Extremal Optimization: Methods derived from Co-Evolution
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ECCV
2006
Springer
14 years 9 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang
ICML
2004
IEEE
14 years 8 months ago
Generalized low rank approximations of matrices
The problem of computing low rank approximations of matrices is considered. The novel aspect of our approach is that the low rank approximations are on a collection of matrices. W...
Jieping Ye
IJCV
2007
179views more  IJCV 2007»
13 years 7 months ago
Global Detection of Salient Convex Boundaries
As an important geometric property of many structures or structural components, convexity plays an important role in computer vision and image understanding. In this paper, we desc...
Song Wang, Joachim S. Stahl, Adam Bailey, Michael ...
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
13 years 5 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
CDC
2008
IEEE
186views Control Systems» more  CDC 2008»
14 years 1 months ago
Continuous-time behavioral portfolio selection
This paper formulates and studies a general continuous-time behavioral portfolio selection model under Kahneman and Tversky's (cumulative) prospect theory, featuring S-shaped...
Hanqing Jin, Xun Yu Zhou