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ECCV
2002
Springer
14 years 11 months ago
Robust Parameterized Component Analysis
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
Fernando De la Torre, Michael J. Black
ICCV
2011
IEEE
12 years 9 months ago
Gaussian Process Regression Flow for Analysis of Motion Trajectories
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...
Kihwan Kim, Dongryeol Lee, Irfan Essa
BMCBI
2005
157views more  BMCBI 2005»
13 years 9 months ago
Statistical Viewer: a tool to upload and integrate linkage and association data as plots displayed within the Ensembl genome bro
Background: To facilitate efficient selection and the prioritization of candidate complex disease susceptibility genes for association analysis, increasingly comprehensive annotat...
Judith E. Stenger, Hong Xu, Carol Haynes, Elizabet...
CSB
2005
IEEE
140views Bioinformatics» more  CSB 2005»
14 years 2 months ago
TPR Packing Analysis and 3D Modeling for the HAT Domain of Human Crooked Neck Protein
Human crooked neck protein (hcrn) containing 17 HAT or TPR repeats plays a role in pre-mRNA processing. Conserved residues in the TPR consensus sequence of 34 aa were found at hel...
Zhenglin Hou, Cunxi Wang, Odd-Arne Olsen
ML
1998
ACM
139views Machine Learning» more  ML 1998»
13 years 9 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby