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» Face Detection and Recognition using Hidden Markov Models
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ICPR
2006
IEEE
15 years 11 months ago
Face Recognition Robust to Head Pose from One Sample Image
Most face recognition systems only work well under quite constrained environments. In particular, the illumination conditions, facial expressions and head pose must be tightly con...
Brian C. Lovell, Shaokang Chen, Ting Shan
ICASSP
2009
IEEE
15 years 4 months ago
Speech emotion recognition via a max-margin framework incorporating a loss function based on the Watson and Tellegen's emotion m
This paper considers a method for speech emotion recognition by a max-margin framework incorporating a loss function based on a well-known model called the Watson and Tellegen’s...
Sungrack Yun, Chang D. Yoo
CDC
2008
IEEE
15 years 4 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
MIR
2004
ACM
101views Multimedia» more  MIR 2004»
15 years 3 months ago
Leveraging face recognition technology to find and organize photos
With digital still cameras, users can easily collect thousands of photos. We have created a photo management application with the goal of making photo organization and browsing si...
Andreas Girgensohn, John Adcock, Lynn Wilcox
ICMI
2003
Springer
99views Biometrics» more  ICMI 2003»
15 years 3 months ago
Selective perception policies for guiding sensing and computation in multimodal systems: a comparative analysis
Intensive computations required for sensing and processing perceptual information can impose significant burdens on personal computer systems. We explore several policies for sel...
Nuria Oliver, Eric Horvitz