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AAAI
2006
15 years 5 months ago
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
Yi Liu, Rong Jin, Liu Yang
139
Voted
ICPR
2010
IEEE
15 years 9 months ago
Constrained Energy Minimization for Matching-Based Image Recognition
We propose to use energy minimization in MRFs for matching-based image recognition tasks. To this end, the Tree-Reweighted Message Passing algorithm is modified by geometric cons...
Tobias Gass, Philippe Dreuw, Hermann Ney
GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
15 years 9 months ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
BMCBI
2007
143views more  BMCBI 2007»
15 years 4 months ago
RNAspa: a shortest path approach for comparative prediction of the secondary structure of ncRNA molecules
Background: In recent years, RNA molecules that are not translated into proteins (ncRNAs) have drawn a great deal of attention, as they were shown to be involved in many cellular ...
Yair Horesh, Tirza Doniger, Shulamit Michaeli, Ron...
147
Voted
CVPR
2011
IEEE
15 years 2 days ago
Truncated Message Passing
Training of conditional random fields often takes the form of a double-loop procedure with message-passing inference in the inner loop. This can be very expensive, as the need to...
Justin Domke