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SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
16 years 5 months 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. ...
ISCAS
2008
IEEE
136views Hardware» more  ISCAS 2008»
15 years 12 months ago
Spatial-temporal consistent labeling for multi-camera multi-object surveillance systems
Abstract—For an intelligent multi-camera multi-object surveillance system, object correspondence across time and space is important to many smart visual applications. In this pap...
Jing-Ying Chang, Tzu-Heng Wang, Shao-Yi Chien, Lia...
SIGIR
2005
ACM
15 years 11 months ago
SimFusion: measuring similarity using unified relationship matrix
In this paper we use a Unified Relationship Matrix (URM) to represent a set of heterogeneous data objects (e.g., web pages, queries) and their interrelationships (e.g., hyperlinks...
Wensi Xi, Edward A. Fox, Weiguo Fan, Benyu Zhang, ...
VRST
2005
ACM
15 years 11 months ago
Rapid scene modelling, registration and specification for mixed reality systems
Many mixed-reality systems require real-time composition of virtual objects with real video. Such composition requires some description of the virtual and real scene geometries an...
Russell M. Freeman, Anthony Steed, Bin Zhou
178
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JCST
2008
124views more  JCST 2008»
15 years 5 months ago
Clustering by Pattern Similarity
The task of clustering is to identify classes of similar objects among a set of objects. The definition of similarity varies from one clustering model to another. However, in most ...
Haixun Wang, Jian Pei