477 search results - page 21 / 96 » Clustering Complex Data with Group-Dependent Feature Selecti... |
114
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SSDBM
2006
IEEE
15 years 5 months ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
116
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ICPR
2006
IEEE
16 years 26 days ago
2006
IEEE
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
115
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CORR
2008
Springer
14 years 11 months ago
2008
Springer
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
87
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PKDD
2004
Springer
15 years 5 months ago
2004
Springer
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
134
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ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. This paper presents a simple, yet effective method of building a codebook for pairs of spatially close SIFT descriptors. Integrating such codebook into the popular bag-o...