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CVPR
2009
IEEE
16 years 8 months ago
Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer
We study the problem of object classification when training and test classes are disjoint, i.e. no training examples of the target classes are available. This setup has hardly be...
Christoph H. Lampert, Hannes Nickisch, Stefan Harm...
ICML
2003
IEEE
16 years 1 months ago
Learning on the Test Data: Leveraging Unseen Features
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
Benjamin Taskar, Ming Fai Wong, Daphne Koller
KDD
2001
ACM
145views Data Mining» more  KDD 2001»
16 years 1 months ago
Proximal support vector machine classifiers
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Glenn Fung, Olvi L. Mangasarian
CVPR
2009
IEEE
16 years 8 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
VLDB
2008
ACM
148views Database» more  VLDB 2008»
16 years 1 months ago
Purpose based access control for privacy protection in relational database systems
Abstract In this article, we present a comprehensive approach for privacy preserving access control based on the notion of purpose. In our model, purpose information associated wit...
Ji-Won Byun, Ninghui Li