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» A Generative Model Based Approach to Motion Segmentation
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ET
1998
99views more  ET 1998»
13 years 8 months ago
A Behavior Model for Next Generation Test Systems
Defining information required by automatic test systems frequently involves a description of system behavior. To facilitate capturing the required behavior information in the cont...
Lee A. Shombert, John W. Sheppard
ECSQARU
2005
Springer
14 years 1 months ago
Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
Raffaella Guglielmann, Liliana Ironi
ACCV
2009
Springer
14 years 2 months ago
Human Action Recognition Using HDP by Integrating Motion and Location Information
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
Yasuo Ariki, Takuya Tonaru, Tetsuya Takiguchi
MCS
2009
Springer
14 years 3 months ago
A Study of Semi-supervised Generative Ensembles
Machine Learning can be divided into two schools of thought: generative model learning and discriminative model learning. While the MCS community has been focused mainly on the lat...
Manuela Zanda, Gavin Brown
CVIU
2008
296views more  CVIU 2008»
13 years 8 months ago
Image segmentation evaluation: A survey of unsupervised methods
Image segmentation is an important processing step in many image, video and computer vision applications. Extensive research has been done in creating many different approaches an...
Hui Zhang, Jason E. Fritts, Sally A. Goldman