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» Using Clustering Methods for Discovering Event Structures
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118
Voted
CVPR
2010
IEEE
15 years 10 months ago
Automatic Discovery of Meaningful Object Parts with Latent CRFs
Object recognition is challenging due to high intra-class variability caused, e.g., by articulation, viewpoint changes, and partial occlusion. Successful methods need to strike a...
Paul Schnitzspan, Stefan Roth, Bernt Schiele
148
Voted
ICCV
2011
IEEE
14 years 2 months ago
Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
Megha Pandey, Svetlana Lazebnik
156
Voted
CVPR
2012
IEEE
13 years 5 months ago
Nonparametric discovery of activity patterns from video collections
We propose a nonparametric framework based on the beta process for discovering temporal patterns within a heterogenous video collection. Starting from quantized local motion descr...
Michael C. Hughes, Erik B. Sudderth
115
Voted
ICCS
2009
Springer
15 years 9 months ago
GPU Accelerated RNA Folding Algorithm
Many bioinformatics studies require the analysis of RNA or DNA structures. More specifically, extensive work is done to elaborate efficient algorithms able to predict the 2-D fold...
Guillaume Rizk, Dominique Lavenier
114
Voted
BIOINFORMATICS
2005
110views more  BIOINFORMATICS 2005»
15 years 2 months ago
Classification of oligonucleotide fingerprints: application for microbial community and gene expression analyses
Oligonucleotide fingerprinting is an array-based approach used for analysis of microbial community composition and gene expression profiling. Oligonucleotide fingerprinting of rib...
Katechan Jampachaisri, Lea Valinsky, James Bornema...