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CVPR
2008
IEEE
13 years 12 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
BMCBI
2007
144views more  BMCBI 2007»
13 years 10 months ago
Assessing the ability of sequence-based methods to provide functional insight within membrane integral proteins: a case study an
Background: Efforts to predict functional sites from globular proteins is increasingly common; however, the most successful of these methods generally require structural insight. ...
Dennis R. Livesay, Patrick D. Kidd, Sepehr Eskanda...
BIBE
2005
IEEE
121views Bioinformatics» more  BIBE 2005»
14 years 3 months ago
RNA Pseudoknot Prediction Using Term Rewriting
RNA plays a critical role in mediating every step of cellular information transfer from genes to functional proteins. Pseudoknots are widely occurring structural motifs found in a...
Xuezheng Fu, Hao Wang, William L. Harrison, Robert...
ISMB
1996
13 years 11 months ago
Refining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming
For transmembrane proteins experimental determina-tion of three-dimensional structure is problematic. However, membrane proteins have important impact for molecular biology in gen...
Burkhard Rost, Rita Casadio, Piero Fariselli
IJCAI
2007
13 years 11 months ago
r-grams: Relational Grams
We introduce relational grams (r-grams). They upgrade n-grams for modeling relational sequences of atoms. As n-grams, r-grams are based on smoothed n-th order Markov chains. Smoot...
Niels Landwehr, Luc De Raedt