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MICCAI
1999
Springer
14 years 2 months ago
Statistical Segmentation of fMRI Activations Using Contextual Clustering
Abstract. A central problem in the analysis of functional magnetic resonance imaging (fMRI) data is the reliable detection and segmentation of activated areas. Often this goal is a...
Eero Salli, Ari Visa, Hannu J. Aronen, Antti Korve...
LREC
2008
90views Education» more  LREC 2008»
13 years 11 months ago
Revealing Relations between Open and Closed Answers in Questionnaires through Text Clustering Evaluation
Open answers in questionnaires contain valuable information that is very time-consuming to analyze manually. We present a method for hypothesis generation from questionnaires base...
Magnus Rosell, Sumithra Velupillai
UAI
2008
13 years 11 months ago
Flexible Priors for Exemplar-based Clustering
Exemplar-based clustering methods have been shown to produce state-of-the-art results on a number of synthetic and real-world clustering problems. They are appealing because they ...
Daniel Tarlow, Richard S. Zemel, Brendan J. Frey
IPM
2007
158views more  IPM 2007»
13 years 10 months ago
Validation and interpretation of Web users' sessions clusters
Understanding users’ navigation on the Web is important towards improving the quality of information and the speed of accessing large-scale Web data sources. Clustering of users...
George Pallis, Lefteris Angelis, Athena Vakali
WCRE
2010
IEEE
13 years 8 months ago
Evaluating the Impact of Software Evolution on Software Clustering
—The evolution of a software project is a rich data source for analyzing and improving the software development process. Recently, several research groups have tried to cluster s...
Fabian Beck, Stephan Diehl