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» A Computational Model for Metric Spaces
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ICPR
2006
IEEE
14 years 9 months ago
Metric tree partitioning and Taylor approximation for fast support vector classification
This paper presents a method to speed up support vector classification, especially important when data is highdimensional. Unlike previous approaches which focus on less support v...
Thang V. Pham, Arnold W. M. Smeulders
MFCS
1994
Springer
13 years 12 months ago
"The Big Sweep": On the Power of the Wavefront Approach to Voronoi Diagrams
We show that the wavefront approach to Voronoi diagrams (a deterministic line sweep algorithm that does not use geometric transform) can be generalized to distance measures more g...
Frank K. H. A. Dehne, Rolf Klein
CVPR
2008
IEEE
13 years 9 months ago
Classification via semi-Riemannian spaces
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
ICCV
2009
IEEE
15 years 23 days ago
TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation
Image auto-annotation is an important open problem in computer vision. For this task we propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images a...
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek...
ACL
2012
11 years 10 months ago
Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation
An ideal summarization system should produce summaries that have high content coverage and linguistic quality. Many state-ofthe-art summarization systems focus on content coverage...
Ziheng Lin, Chang Liu, Hwee Tou Ng, Min-Yen Kan