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CICLING
2009
Springer
16 years 8 months ago
Improved Unsupervised Name Discrimination with Very Wide Bigrams and Automatic Cluster Stopping
We cast name discrimination as a problem in clustering short contexts. Each occurrence of an ambiguous name is treated independently, and represented using second?order context vec...
Ted Pedersen
AVSS
2009
IEEE
16 years 2 months ago
Clustered Synopsis of Surveillance Video
—Millions of surveillance cameras record video around the clock, producing huge video archives. Even when a video archive is known to include critical activities, finding them i...
Yael Pritch, Sarit Ratovitch, Avishai Hendel, Shmu...
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
16 years 2 months ago
Clustering Uncertain Data with Possible Worlds
The topic of managing uncertain data has been explored in many ways. Different methodologies for data storage and query processing have been proposed. As the availability of manag...
Peter Benjamin Volk, Frank Rosenthal, Martin Hahma...
DSN
2009
IEEE
16 years 2 months ago
Spam detection in voice-over-IP calls through semi-supervised clustering
In this paper, we present an approach for detection of spam calls over IP telephony called SPIT in VoIP systems. SPIT detection is different from spam detection in email in that t...
Yu-Sung Wu, Saurabh Bagchi, Navjot Singh, Ratsamee...
BIBM
2008
IEEE
170views Bioinformatics» more  BIBM 2008»
16 years 2 months ago
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan