1022 search results - page 31 / 205 » cluster 2009 |
IBPRIA
2009
Springer
14 years 3 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 ...
MM
2009
ACM
14 years 4 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...
PRIB
2009
Springer
14 years 4 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...
ICML
2009
IEEE
14 years 11 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...
CIKM
2009
Springer
14 years 5 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 ...