5092 search results - page 123 / 1019 » Clustering the Feature Space |
142
Voted
IBPRIA
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. This paper presents a novel approach for motion segmentation from feature trajectories with missing data. It consists of two stages. In the first stage, missing data are...
167
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SIGMOD
2004
ACM
16 years 4 months ago
2004
ACM
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
129
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IDEAL
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
152
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PRL
2010
15 years 3 months ago
2010
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
124
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NAACL
2003
15 years 6 months ago
2003
Columbia’s Newsblaster tracking and summarization system is a robust system that clusters news into events, categorizes events into broad topics and summarizes multiple articles...