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NIPS
2008
15 years 5 months ago
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...
Yi Zhang 0010, Jeff Schneider, Artur Dubrawski
CVPR
2007
IEEE
16 years 6 months ago
Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs
We propose a manifold learning approach to fiber tract clustering using a novel similarity measure between fiber tracts constructed from dual-rooted graphs. In particular, to gene...
Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero, Al...
ICCV
2005
IEEE
16 years 6 months ago
Neighborhood Preserving Embedding
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zha...
144
Voted
BMCBI
2010
109views more  BMCBI 2010»
15 years 4 months ago
Structural alphabets derived from attractors in conformational space
Background: The hierarchical and partially redundant nature of protein structures justifies the definition of frequently occurring conformations of short fragments as `states'...
Alessandro Pandini, Arianna Fornili, Jens Kleinjun...
135
Voted
BMCBI
2007
122views more  BMCBI 2007»
15 years 4 months ago
TAP score: torsion angle propensity normalization applied to local protein structure evaluation
Background: Experimentally determined protein structures may contain errors and require validation. Conformational criteria based on the Ramachandran plot are mainly used to disti...
Silvio C. E. Tosatto, Roberto Battistutta