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133
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DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
15 years 7 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
IBPRIA
2009
Springer
15 years 8 months ago
Class Representative Visual Words for Category-Level Object Recognition
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 ...
Roberto Javier López-Sastre, Tinne Tuytelaa...
137
Voted
CIKM
2008
Springer
15 years 5 months ago
A consensus based approach to constrained clustering of software requirements
Managing large-scale software projects involves a number of activities such as viewpoint extraction, feature detection, and requirements management, all of which require a human a...
Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher
137
Voted
VLDB
1998
ACM
173views Database» more  VLDB 1998»
15 years 3 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 ...
142
Voted
ICIP
2006
IEEE
16 years 5 months ago
On the Use of Metrics for Multi-Dimensional Descriptors Clustering
The Visual Thesaurus is a new query approach when no starting image is available. It is a concise representation of all similar regions in a panel of visual patches; the user arra...
Hichem Houissa, Nozha Boujemaa