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SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
16 years 5 hour ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
EDBT
2008
ACM
167views Database» more  EDBT 2008»
15 years 12 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant
ICIAP
2007
ACM
15 years 12 months ago
Natural scenes categorization by hierarchical extraction of typicality patterns
Natural scene categorization of images represents a very useful task for automatic image analysis systems in a wide variety of applications. In the literature, several methods hav...
Alessandro Perina, Marco Cristani, Vittorio Murino
CIVR
2009
Springer
583views Image Analysis» more  CIVR 2009»
15 years 12 months ago
Mining from Large Image Sets
So far, most image mining was based on interactive querying. Although such querying will remain important in the future, several applications need image mining at such wide scale...
Luc J. Van Gool, Michael D. Breitenstein, Stephan ...
ICDE
2010
IEEE
322views Database» more  ICDE 2010»
15 years 11 months ago
XML-Based Computation for Scientific Workflows
Scientific workflows are increasingly used for rapid integration of existing algorithms to form larger and more comgrams. Such workflows promise to provide more abstract, yet execu...
Bertram Ludäscher, Daniel Zinn, Shawn Bowers