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» Hierarchical Hidden Markov Models for Information Extraction
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FGR
2011
IEEE
267views Biometrics» more  FGR 2011»
14 years 5 months ago
A dynamic approach to the recognition of 3D facial expressions and their temporal models
— In this paper we propose a method that exploits 3D motion-based features between frames of 3D facial geometry sequences for dynamic facial expression recognition. An expressive...
Georgia Sandbach, Stefanos Zafeiriou, Maja Pantic,...
NIPS
2007
15 years 2 months ago
Collective Inference on Markov Models for Modeling Bird Migration
We investigate a family of inference problems on Markov models, where many sample paths are drawn from a Markov chain and partial information is revealed to an observer who attemp...
Daniel Sheldon, M. A. Saleh Elmohamed, Dexter Koze...
DAGM
2006
Springer
15 years 5 months ago
Probabilistic De Novo Peptide Sequencing with Doubly Charged Ions
Sequencing of peptides by tandem mass spectrometry has matured to the key technology for proteomics. Noise in the measurement process strongly favors statistical models like NovoHM...
Hansruedi Peter, Bernd Fischer, Joachim M. Buhmann
ICIP
2009
IEEE
16 years 2 months ago
Combining Multimodal And Temporal Contextual Information For Semantic Video Analysis
In this paper, a graphical modeling-based approach to semantic video analysis is presented for jointly realizing modality fusion and temporal context exploitation. Overall, the ex...
321
Voted
CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
16 years 8 months ago
Hierarchical Spatio-Temporal Context Modeling for Action Recognition
The problem of recognizing actions in realistic videos is challenging yet absorbing owing to its great potentials in many practical applications. Most previous research is limit...
Jintao Li, Ju Sun, Loong Fah Cheong, Shuicheng Yan...