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» Discriminative K-means for Clustering
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MM
2009
ACM
125views Multimedia» more  MM 2009»
14 years 2 months ago
Unfolding speaker clustering potential: a biomimetic approach
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...
Thilo Stadelmann, Bernd Freisleben
ECCV
2010
Springer
13 years 10 months ago
Clustering Complex Data with Group-Dependent Feature Selection
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
13 years 5 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
VLDB
1998
ACM
173views Database» more  VLDB 1998»
13 years 7 months ago
Fast Image Retrieval Using Color-Spatial Information
Abstract. In this paper, we present an image retrieval system that employs both the color and spatial information of images to facilitate the retrieval process. The basic unit used...
Beng Chin Ooi, Kian-Lee Tan, Tat-Seng Chua, Wynne ...
ISMIS
2009
Springer
14 years 2 months ago
Fuzzy Clustering for Categorical Spaces
Abstract. A multi-relational clustering method is presented which can be applied to complex knowledge bases storing resources expressed in the standard Semantic Web languages. It a...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito