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185
Voted
MOBISYS
2007
ACM
16 years 6 months ago
2007
ACM
Provenance becomes a critical requirement for healthcare IT infrastructures, especially when pervasive biomedical sensors act as a source of raw medical streams for large-scale, a...
206
Voted
ICCV
2009
IEEE
16 years 12 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
168
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ICMCS
2006
IEEE
16 years 27 days ago
2006
IEEE
In this paper we present a novel approach for labeling clusters of multimedia content that leverages supervised classification techniques in conjunction with unsupervised cluster...
185
Voted
SSPR
2004
Springer
16 years 6 days ago
2004
Springer
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
224
Voted
IAT
2007
IEEE
15 years 7 months ago
2007
IEEE
User profiling is a fundamental task in Web personalization. Fuzzy clustering is a valid approach to derive user profiles by capturing similar user interests from web usage data a...