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ICMCS
2005
IEEE
90views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Integrating co-training and recognition for text detection
Training a good text detector requires a large amount of labeled data, which can be very expensive to obtain. Cotraining has been shown to be a powerful semi-supervised learning t...
Wen Wu, Datong Chen, Jie Yang
IMC
2004
ACM
15 years 3 months ago
Modeling distances in large-scale networks by matrix factorization
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
Yun Mao, Lawrence K. Saul
BMCBI
2008
97views more  BMCBI 2008»
14 years 9 months ago
Interrogating domain-domain interactions with parsimony based approaches
Background: The identification and characterization of interacting domain pairs is an important step towards understanding protein interactions. In the last few years, several met...
Katia S. Guimarães, Teresa M. Przytycka
87
Voted
AE
1999
Springer
15 years 2 months ago
Characterizing Locality in Decoder-Based EAs for the Multidimensional Knapsack Problem
The performance of decoder-based evolutionary algorithms (EAs) strongly depends on the locality of the used decoder and operators. While many approaches to characterize locality ar...
Jens Gottlieb, Günther R. Raidl
CONSTRAINTS
2010
126views more  CONSTRAINTS 2010»
14 years 9 months ago
Lexicographically-ordered constraint satisfaction problems
Abstract. We describe a simple CSP formalism for handling multi-attribute preference problems with hard constraints, one that combines hard constraints and preferences so the two a...
Eugene C. Freuder, Robert Heffernan, Richard J. Wa...