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LPAR
1999
Springer
15 years 11 months ago
Practical Reasoning for Expressive Description Logics
Abstract. Description Logics (DLs) are a family of knowledge representation formalisms mainly characterised by constructors to build complex concepts and roles from atomic ones. Ex...
Ian Horrocks, Ulrike Sattler, Stephan Tobies
CVPR
2009
IEEE
17 years 2 months ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
CVPR
2009
IEEE
17 years 1 months ago
Constrained Clustering via Spectral Regularization
We propose a novel framework for constrained spectral clustering with pairwise constraints which specify whether two objects belong to the same cluster or not. Unlike previous m...
Zhenguo Li (The Chinese University of Hong Kong), ...
CVPR
2005
IEEE
16 years 8 months ago
Multitarget Tracking with Split and Merged Measurements
In many multitarget tracking applications in computer vision, a detection algorithm provides locations of potential targets. Subsequently, the measurements are associated with pre...
Zia Khan, Tucker R. Balch, Frank Dellaert
CVPR
2007
IEEE
16 years 8 months ago
Feature Extraction by Maximizing the Average Neighborhood Margin
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
Fei Wang, Changshui Zhang
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