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» Clustering with Multiple Graphs
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111
Voted
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 29 days ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
101
Voted
ICPR
2006
IEEE
16 years 1 months ago
A General Framework for Agglomerative Hierarchical Clustering Algorithms
This paper presents a general framework for agglomerative hierarchical clustering based on graphs. Specifying an inter-cluster similarity measure, a subgraph of the similarity gra...
Reynaldo Gil-García, José Manuel Bad...
94
Voted
BMVC
2000
15 years 1 months ago
Region-Based Object Recognition: Pruning Multiple Representations and Hypotheses
We address the problem of object recognition in computer vision. We represent each model and the scene in the form of Attributed Relational Graph. A multiple region representation...
Alireza Ahmadyfard, Josef Kittler
SIAMDM
1998
55views more  SIAMDM 1998»
15 years 6 days ago
Multiple Capacity Vehicle Routing on Paths
Consider the problem of transporting a set of objects between the vertices of a simple graph by a vehicle that traverses the edges of the graph. The problem of finding a shortest...
D. J. Guan, Xuding Zhu
CLUSTER
2006
IEEE
15 years 6 months ago
MSSG: A Framework for Massive-Scale Semantic Graphs
This paper presents a middleware framework for storing, accessing and analyzing massive-scale semantic graphs. The framework, MSSG, targets scale-free semantic graphs with O(1012 ...
Timothy D. R. Hartley, Ümit V. Çataly&...