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IJAR
2006
89views more  IJAR 2006»
14 years 9 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
FLAIRS
2008
14 years 12 months ago
Graph Grammars: An ITS Technology for Diagram Representations
For many educational applications such as learning tools for argumentation, structured diagrams are a suitable form of external representation. However, student-created graphs pos...
Niels Pinkwart, Kevin D. Ashley, Vincent Aleven, C...
ICCD
2002
IEEE
127views Hardware» more  ICCD 2002»
15 years 6 months ago
GPE: A New Representation for VLSI Floorplan Problem
In this paper, we propose a new representation of VLSI floorplan and building block problem. The representation is the generalization of Polish expression [1]. By proposing a new ...
Chang-Tzu Lin, De-Sheng Chen, Yi-Wen Wang
ICIP
2003
IEEE
15 years 11 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
118
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CVPR
2009
IEEE
16 years 4 months ago
Domain Transfer SVM for Video Concept Detection
Cross-domain learning methods have shown promising results by leveraging labeled patterns from auxiliary domains to learn a robust classifier for target domain, which has a limi...
Dong Xu, Ivor Wai-Hung Tsang, Lixin Duan, Stephen ...