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CVPR
2007
IEEE
14 years 11 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
ICIP
2001
IEEE
14 years 10 months ago
Automatic multi-modal dialogue scene indexing
An automatic algorithm for indexing dialogue scenes in multimedia content is proposed. The content is segmented into dialogue scenes using the state transitions of a hidden Markov...
A. Aydin Alatan
FLAIRS
2004
13 years 10 months ago
Semi-Supervised Sequence Classification with HMMs
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
Shi Zhong
GW
2009
Springer
195views Biometrics» more  GW 2009»
13 years 6 months ago
Continuous Realtime Gesture Following and Recognition
Abstract. We present a HMM based system for real-time gesture analysis. The system outputs continuously parameters relative to the gesture time progression and its likelihood. Thes...
Frédéric Bevilacqua, Bruno Zamborlin...
ICDAR
2009
IEEE
13 years 6 months ago
Combining Multiple HMMs Using On-line and Off-line Features for Off-line Arabic Handwriting Recognition
This paper presents an off-line Arabic Handwriting recognition system based on the selection of different state of the art features and the combination of multiple Hidden Markov M...
Mahdi Hamdani, Haikal El Abed, Monji Kherallah, Ad...