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» A Theory for Memory-Based Learning
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CVPR
2007
IEEE
16 years 8 months ago
A boosting regression approach to medical anatomy detection
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
16 years 6 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
COCOON
2009
Springer
16 years 22 days ago
On the Performances of Nash Equilibria in Isolation Games
: Network games play a fundamental role in understanding behavior in many domains, ranging from communication networks through markets to social networks. Such networks are used, a...
Vittorio Bilò, Michele Flammini, Gianpiero ...
MM
2009
ACM
277views Multimedia» more  MM 2009»
16 years 20 days ago
Inferring semantic concepts from community-contributed images and noisy tags
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...
Jinhui Tang, Shuicheng Yan, Richang Hong, Guo-Jun ...
ITNG
2008
IEEE
16 years 16 days ago
Hierarchy-Driven Approach for Attack Patterns in Software Security Education
We propose a hierarchy-driven approach to facilitate student learning and foster a deeper understanding of the importance of attack patterns in computer, network, and software sec...
Joshua J. Pauli, Patrick Henry Engebretson