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RECOMB
2009
Springer
16 years 6 months ago
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
Saket Navlakha, James Robert White, Niranjan Nagar...
ENTCS
2006
213views more  ENTCS 2006»
15 years 6 months ago
Building Components from Functions
In the domain of embedded software systems the increasing complexity of the functionality as well as the increase in variations caused by product lines requires a modular design p...
Bernhard Schäz
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 11 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
CVPR
2010
IEEE
16 years 2 months ago
Action Unit Detection with Segment-based SVMs
Automatic facial action unit (AU) detection from video is a long-standing problem in computer vision. Two main approaches have been pursued: (1) static modeling--typically posed a...
Tomas Simon, Nguyen Minh, Fernando De la Torre, Je...
ACL
1994
15 years 7 months ago
Word-Sense Disambiguation Using Decomposable Models
Most probabilistic classi ers used for word-sense disambiguationhave either been based on onlyone contextual feature or have used a model that is simply assumed to characterize th...
Rebecca F. Bruce, Janyce Wiebe