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» Learning Generative Models via Discriminative Approaches
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ICML
2005
IEEE
16 years 5 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...
TSMC
2010
14 years 11 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
PRL
2007
155views more  PRL 2007»
15 years 4 months 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»
15 years 1 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 8 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...