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» On learning with dissimilarity functions
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TNN
2008
119views more  TNN 2008»
15 years 6 months ago
Selecting Useful Groups of Features in a Connectionist Framework
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
Debrup Chakraborty, Nikhil R. Pal
TVCG
2010
183views more  TVCG 2010»
15 years 5 months ago
Exploration and Visualization of Segmentation Uncertainty using Shape and Appearance Prior Information
—We develop an interactive analysis and visualization tool for probabilistic segmentation in medical imaging. The originality of our approach is that the data exploration is guid...
Ahmed Saad, Ghassan Hamarneh, Torsten Möller
JBCB
2010
138views more  JBCB 2010»
15 years 1 months ago
Hierarchical Classification of Gene Ontology Terms Using the Gostruct Method
Protein function prediction is an active area of research in bioinformatics. And yet, transfer of annotation on the basis of sequence or structural similarity remains widely used ...
Artem Sokolov, Asa Ben-Hur
JMLR
2010
101views more  JMLR 2010»
15 years 1 months ago
Classification Using Geometric Level Sets
A variational level set method is developed for the supervised classification problem. Nonlinear classifier decision boundaries are obtained by minimizing an energy functional tha...
Kush R. Varshney, Alan S. Willsky
JMLR
2010
105views more  JMLR 2010»
15 years 1 months ago
On the Convergence Properties of Contrastive Divergence
Contrastive Divergence (CD) is a popular method for estimating the parameters of Markov Random Fields (MRFs) by rapidly approximating an intractable term in the gradient of the lo...
Ilya Sutskever, Tijmen Tieleman