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AAAI
2006
15 years 7 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
ICPR
2010
IEEE
16 years 2 days 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 11 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 6 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...
CVPR
2011
IEEE
15 years 2 months 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