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168
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IBPRIA
2009
Springer
15 years 8 months ago
2009
Springer
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
160
Voted
MM
2009
ACM
15 years 10 months ago
2009
ACM
Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar to those used for spea...
129
Voted
PRIB
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
115
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
121
Voted
CIKM
2009
Springer
15 years 10 months ago
2009
Springer
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...