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94
Voted
JSAC
2010
14 years 9 months ago
2010
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...
CORR
2010
Springer
14 years 5 months ago
2010
Springer
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
124
Voted
CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
In this paper, we propose a novel approach for learning generic visual vocabulary. We use diffusion maps to au-tomatically learn a semantic visual vocabulary from ab-undant quantiz...
CVPR
2004
IEEE
16 years 14 days ago
2004
IEEE
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
KDD
2006
ACM
15 years 11 months ago
2006
ACM
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...