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115
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ECCV
2010
Springer
15 years 2 months ago
2010
Springer
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...
134
Voted
ACL
2006
2006
Answer Extraction, Semantic Clustering, and Extractive Summarization for Clinical Question Answering
15 years 1 months ago
This paper presents a hybrid approach to question answering in the clinical domain that combines techniques from summarization and information retrieval. We tackle a frequently-oc...
110
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BMCBI
2008
15 years 15 days ago
2008
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
93
Voted
CEC
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract— In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDIS), that aims at dealing with large scale network attacks feat...
105
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PRIB
2009
Springer
15 years 7 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...