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MM
2004
ACM
154views Multimedia» more  MM 2004»
15 years 3 months ago
PLSA-based image auto-annotation: constraining the latent space
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming ...
Florent Monay, Daniel Gatica-Perez
TNN
2010
143views Management» more  TNN 2010»
14 years 4 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
DAGM
2010
Springer
14 years 11 months ago
Geometrically Constrained Level Set Tracking for Automotive Applications
We propose a new approach for integrating geometric scene knowledge into a level-set tracking framework. Our approach is based on a novel constrained-homography transformation mode...
Esther Horbert, Dennis Mitzel, Bastian Leibe
4OR
2004
79views more  4OR 2004»
14 years 9 months ago
Constrained auction clearing in the Italian electricity market
Most of the liberalized electricity systems use the auction as a market model. The complexity of the underlying optimization formulation depends on the technical and regulatory con...
Patrizia Beraldi, Domenico Conforti, Chefi Triki, ...
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
15 years 10 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...