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JMLR
2011
148views more  JMLR 2011»
15 years 1 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
ICIP
2003
IEEE
16 years 8 months ago
Removal of video line jitter using a dynamic programming approach
Analog video digitized from noisy sources can suffer of line registration problems due to bad synchronization pulses. The effect is that the image lines are randomly shiftedwith r...
Louis Laborelli
ICML
2005
IEEE
16 years 7 months ago
Fast maximum margin matrix factorization for collaborative prediction
Maximum Margin Matrix Factorization (MMMF) was recently suggested (Srebro et al., 2005) as a convex, infinite dimensional alternative to low-rank approximations and standard facto...
Jason D. M. Rennie, Nathan Srebro
CVPR
2010
IEEE
16 years 3 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
GECCO
2009
Springer
104views Optimization» more  GECCO 2009»
16 years 1 months ago
Sustaining diversity using behavioral information distance
Conventional similarity metrics used to sustain diversity in evolving populations are not well suited to sequential decision tasks. Genotypes and phenotypic structure are poor pre...
Faustino J. Gomez