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213
Voted
MOBISYS
2007
ACM
16 years 7 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...
228
Voted
ICCV
2009
IEEE
17 years 20 days 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...
199
Voted
ICMCS
2006
IEEE
16 years 1 months 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...
213
Voted
SSPR
2004
Springer
16 years 1 months 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...
243
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...