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ICIP
2003
IEEE
14 years 8 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
ICIP
2003
IEEE
14 years 8 months ago
Gesture segmentation in complex motion sequences
Complex human motion sequences (such as dances) are typically analyzed by segmenting them into shorter motion sequences, called gestures. However, this segmentation process is sub...
Kanav Kahol, Priyamvada Tripathi, Sethuraman Panch...
BIBM
2008
IEEE
142views Bioinformatics» more  BIBM 2008»
14 years 27 days ago
Using Global Sequence Similarity to Enhance Biological Sequence Labeling
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasa...
FGR
2004
IEEE
150views Biometrics» more  FGR 2004»
13 years 10 months ago
Automated Gesture Segmentation From Dance Sequences
Complex human motion (e.g. dance) sequences are typically analyzed by segmenting them into shorter motion sequences, called gestures. However, this segmentation process is subject...
Kanav Kahol, Priyamvada Tripathi, Sethuraman Panch...
ML
1998
ACM
139views Machine Learning» more  ML 1998»
13 years 6 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