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CVPR
2007
IEEE
16 years 6 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
GLOBECOM
2006
IEEE
15 years 10 months ago
Analysis of IEEE 802.11 DCF with Hidden Terminals
—The mandatory access mode in IEEE 802.11 MAC is Distributed Coordination Function (DCF), which provides both basic access and RTS/CTS(request-to-send/clear-to-send) access. Prev...
Haitao Wu, Fan Zhu, Qian Zhang, Zhisheng Niu
DSP
2008
15 years 4 months ago
Extension of higher-order HMC modeling with application to image segmentation
In this work, we propose to improve the neighboring relationship ability of the Hidden Markov Chain (HMC) model, by extending the memory lengthes of both the Markov chain process ...
Lamia Benyoussef, Cyril Carincotte, Stéphan...
CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
15 years 11 months ago
Estimation of non-stationary Markov Chain transition models
— Many decision systems rely on a precisely known Markov Chain model to guarantee optimal performance, and this paper considers the online estimation of unknown, nonstationary Ma...
Luca F. Bertuccelli, Jonathan P. How
ICML
2005
IEEE
16 years 5 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...