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» Random subspace method for multivariate feature selection
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JCB
2008
106views more  JCB 2008»
13 years 8 months ago
Statistics of Random Protein Superpositions: p-Values for Pairwise Structure Alignment
Quantification of statistical significance is essential for the interpretation of protein structural similarity. To address this, a random model for protein structure comparison w...
James O. Wrabl, Nick V. Grishin
COMGEO
2004
ACM
13 years 8 months ago
A multi-dimensional approach to force-directed layouts of large graphs
We present a novel hierarchical force-directed method for drawing large graphs. Given a graph G = (V,E), the algorithm produces an embedding for G in an Euclidean space E of any d...
Pawel Gajer, Michael T. Goodrich, Stephen G. Kobou...
MCS
2009
Springer
14 years 3 months ago
A Study of Semi-supervised Generative Ensembles
Machine Learning can be divided into two schools of thought: generative model learning and discriminative model learning. While the MCS community has been focused mainly on the lat...
Manuela Zanda, Gavin Brown
DICTA
2003
13 years 10 months ago
Synthesising Textures Using Variable Neighbourhood Searching
Abstract. Texture synthesis aims to define and reproduce discriminating image features. These features are used to associate with and differentiate between two textures. Often tex...
Minh Tran, Amitava Datta
CVPR
2008
IEEE
14 years 10 months ago
Mining compositional features for boosting
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
Junsong Yuan, Jiebo Luo, Ying Wu