5092 search results - page 64 / 1019 » Clustering the Feature Space |
169
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JMLR
2010
14 years 11 months ago
2010
This work addresses the problem of feature extraction for boosting the performance of outlier detectors in high-dimensional spaces. Recent years have observed the prominence of mu...
127
Voted
CAIP
2005
Springer
15 years 9 months ago
2005
Springer
Linear Discriminant Analysis (LDA) is widely known feature extraction technique that aims at creating a feature set of enhanced discriminatory power. It was addressed by many resea...
153
Voted
SSPR
2010
Springer
15 years 2 months ago
2010
Springer
The aim of this paper is to find an answer to the question: What is the difference between dissimilarity-based classifications(DBCs) and other kernelbased classifications(KBCs)?...
142
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ICANN
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
125
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ICIP
2007
IEEE
15 years 10 months ago
2007
IEEE
In this paper, we place the integral image-based approach for multi-scale feature construction, popularized by Viola and Jones, into a common framework of understanding. The integ...