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» Geometric Clustering Using the Information Bottleneck Method
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ICCD
2003
IEEE
145views Hardware» more  ICCD 2003»
16 years 1 months ago
Care Bit Density and Test Cube Clusters: Multi-Level Compression Opportunities
: Most of the recently discussed and commercially introduced test stimulus data compression techniques are based on low care bit densities found in typical scan test vectors. Data ...
Bernd Könemann
AIRS
2005
Springer
15 years 10 months ago
MPEG-7 Visual-Temporal Clustering for Digital Image Collections
We present a novel, yet simple algorithm for clustering large collections of digital images. The method is applicable to consumer digital photo libraries, where it can be used to o...
Robert O'Callaghan, Miroslaw Bober
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 4 months ago
Detecting outliers using transduction and statistical testing
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
Daniel Barbará, Carlotta Domeniconi, James ...
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
16 years 1 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
IPM
2007
158views more  IPM 2007»
15 years 4 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