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190
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ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
16 years 5 months ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang
103
Voted
ISCAS
2007
IEEE
106views Hardware» more  ISCAS 2007»
15 years 6 months ago
Ensemble Dependent Matrix Methodology for Probabilistic-Based Fault-tolerant Nanoscale Circuit Design
—Two probabilistic-based models, namely the Ensemble-Dependent Matrix model [1][3] and the Markov Random Field model [2], have been proposed to deal with faults in nanoscale syst...
Huifei Rao, Jie Chen, Changhong Yu, Woon Tiong Ang...
92
Voted
MCS
2007
Springer
15 years 6 months ago
A New HMM-Based Ensemble Generation Method for Numeral Recognition
A new scheme for the optimization of codebook sizes for HMMs and the generation of HMM ensembles is proposed in this paper. In a discrete HMM, the vector quantization procedure and...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...
NIPS
2001
15 years 1 months ago
Infinite Mixtures of Gaussian Process Experts
We present an extension to the Mixture of Experts (ME) model, where the individual experts are Gaussian Process (GP) regression models. Using an input-dependent adaptation of the ...
Carl Edward Rasmussen, Zoubin Ghahramani
121
Voted
ICPR
2000
IEEE
15 years 4 months ago
Realtime Online Adaptive Gesture Recognition
We introduce an online adaptive algorithm for learning gesture models. By learning gesture models in an online fashion, the gesture recognition process is made more robust, and th...
Andrew D. Wilson, Aaron F. Bobick