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SDM
2009
SIAM
161views Data Mining» more  SDM 2009»
16 years 4 months ago
Feature Weighted SVMs Using Receiver Operating Characteristics.
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan,...
ACL
2008
15 years 8 months ago
Pivot Approach for Extracting Paraphrase Patterns from Bilingual Corpora
Paraphrase patterns are useful in paraphrase recognition and generation. In this paper, we present a pivot approach for extracting paraphrase patterns from bilingual parallel corp...
Shiqi Zhao, Haifeng Wang, Ting Liu, Sheng Li
CVPR
2008
IEEE
15 years 7 months ago
Beyond the Lambertian assumption: A generative model for Apparent BRDF fields of faces using anti-symmetric tensor splines
Human faces are neither exactly Lambertian nor entirely convex and hence most models in literature which make the Lambertian assumption, fall short when dealing with specularities...
Angelos Barmpoutis, Ritwik Kumar, Baba C. Vemuri, ...
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PR
2006
119views more  PR 2006»
15 years 6 months ago
Fingerprint matching by genetic algorithms
Fingerprint matching is still a challenging problem for reliable person authentication because of the complex distortions involved in two impressions of the same finger. In this p...
Xuejun Tan, Bir Bhanu
PR
2006
152views more  PR 2006»
15 years 6 months ago
Edit distance-based kernel functions for structural pattern classification
A common approach in structural pattern classification is to define a dissimilarity measure on patterns and apply a distance-based nearest-neighbor classifier. In this paper, we i...
Michel Neuhaus, Horst Bunke