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» Learning Generative Models via Discriminative Approaches
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ICML
2005
IEEE
16 years 1 months ago
Dirichlet enhanced relational learning
We apply nonparametric hierarchical Bayesian modelling to relational learning. In a hierarchical Bayesian approach, model parameters can be "personalized", i.e., owned b...
Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Pe...
111
Voted
TSMC
2010
14 years 7 months ago
Dual Gait Generative Models for Human Motion Estimation From a Single Camera
This paper presents a general gait representation framework for video-based human motion estimation. Specifically, we want to estimate the kinematics of an unknown gait from image ...
Xin Zhang, Guoliang Fan
108
Voted
PRL
2007
155views more  PRL 2007»
15 years 1 days ago
Integrated patch model: A generative model for image categorization based on feature selection
Image categorization could be treated as an effective solution to enable keyword-based image retrieval. In this paper, we propose a novel image categorization approach by learnin...
Feng Xu, Yu-Jin Zhang
ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
14 years 10 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu
IJSEKE
2011
165views more  IJSEKE 2011»
14 years 4 months ago
Model Checking for Verification of Mandatory Access Control Models and Properties
rather wide gap in abstraction between policies and mechanisms. In this paper, we propose a general approach for property verification for MAC models. The approach defines a stan...
Vincent C. Hu, D. Richard Kuhn, Tao Xie, JeeHyun H...