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» A Support Vector Clustering Method
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112
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CCGRID
2003
IEEE
15 years 9 months ago
Noncontiguous I/O Accesses Through MPI-IO
I/O performance remains a weakness of parallel computing systems today. While this weakness is partly attributed to rapid advances in other system components, I/O interfaces avail...
Avery Ching, Alok N. Choudhary, Kenin Coloma, Wei-...
121
Voted
ICIP
2005
IEEE
16 years 5 months ago
Eigenwalks: walk detection and biometrics from symmetry patterns
In this paper we present a symmetry-based approach which can be used to detect humans and to extract biometric characteristics from video image-sequences. The method employs a simp...
Laszlo Havasi, Tamás Szirányi, Zolt&...
161
Voted
DAS
2006
Springer
15 years 7 months ago
Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition
Abstract. This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recogniti...
Bilan Zhu, Junko Tokuno, Masaki Nakagawa
128
Voted
ECML
2006
Springer
15 years 7 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
121
Voted
SMC
2010
IEEE
132views Control Systems» more  SMC 2010»
15 years 2 months ago
Selection of SIFT feature points for scene description in robot vision
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
Yuya Utsumi, Masahiro Tsukada, Hirokazu Madokoro, ...