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163
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CVPR
2004
IEEE
16 years 7 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
186
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CVPR
2005
IEEE
16 years 7 months ago
2005
IEEE
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
154
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CBMS
2009
IEEE
15 years 12 months ago
2009
IEEE
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
160
Voted
ICDAR
2003
IEEE
15 years 10 months ago
2003
IEEE
The objective of this paper is to present a number of features that can be extracted from handwritten digits and used for author verification or identification of a person’s han...
157
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CLEF
2010
Springer
15 years 6 months ago
2010
Springer
Abstract. This paper describes our approach to the Person Name Disambiguation clustering task in the Third Web People Search Evaluation Campaign(WePS3). The method focuses on two a...