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BMCBI
2005
102views more  BMCBI 2005»
15 years 1 months ago
Modelling the interaction of steroid receptors with endocrine disrupting chemicals
Background: The organic polychlorinated compounds like dichlorodiphenyltrichloroethane with its metabolites and polychlorinated biphenyls are a class of highly persistent environm...
Pasqualina D'Ursi, Erika Salvi, Paola Fossa, Lucia...
87
Voted
CI
2002
92views more  CI 2002»
15 years 27 days ago
Model Selection in an Information Economy: Choosing What to Learn
As online markets for the exchange of goods and services become more common, the study of markets composed at least in part of autonomous agents has taken on increasing importance...
Christopher H. Brooks, Robert S. Gazzale, Rajarshi...
133
Voted
JCB
2006
215views more  JCB 2006»
15 years 1 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...
112
Voted
CVPR
2005
IEEE
16 years 3 months ago
Implicit Surfaces Make for Better Silhouettes
This paper advocates an implicit-surface representation of generic 3?D surfaces to take advantage of occluding edges in a very robust way. This lets us exploit silhouette constrai...
Slobodan Ilic, Mathieu Salzmann, Pascal Fua
110
Voted
ICIP
2006
IEEE
16 years 2 months ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...