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» Hybrid Hidden Markov Model for Face Recognition
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CVPR
1998
IEEE
15 years 12 months ago
Action Recognition Using Probabilistic Parsing
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
Aaron F. Bobick, Yuri A. Ivanov
CVPR
2007
IEEE
15 years 4 months ago
Accurate Dynamic Sketching of Faces from Video
A sketch captures the most informative part of an object, in a much more concise and potentially robust representation (e.g., for face recognition or new capabilities of manipulat...
Zijian Xu, Jiebo Luo
INTERSPEECH
2010
14 years 4 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang
ICASSP
2009
IEEE
15 years 1 months ago
Directed Markov Stationary Features for visual classification
We investigate how to effectively incorporate spatial structure information into histogram features for boosting visual classification performance motivated by recently proposed M...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim
SSPR
2004
Springer
15 years 3 months ago
Understanding Human-Computer Interactions in Map Revision
Abstract. It is difficult to track, parse and model human-computer interactions during editing and revising of documents, but it is necessary if we are to develop automated technol...
Jun Zhou, Walter F. Bischof, Terry Caelli