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» Experiments on Graph Clustering Algorithms
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CVPR
2003
IEEE
14 years 9 months ago
Many-to-Many Graph Matching via Metric Embedding
Graph matching is an important component in many object recognition algorithms. Although most graph matching algorithms seek a one-to-one correspondence between nodes, it is often...
Yakov Keselman, Ali Shokoufandeh, M. Fatih Demirci...
IV
2009
IEEE
128views Visualization» more  IV 2009»
14 years 2 months ago
Large Quasi-Tree Drawing: A Neighborhood Based Approach
In this paper, we present an algorithm to lay out a particular class of graphs coming from real case studies: the quasi-tree graph class. Protein and internet mappings projects ha...
Romain Bourqui, David Auber
FLAIRS
2007
13 years 10 months ago
Inference of Edge Replacement Graph Grammars
We describe an algorithm and experiments for inference of edge replacement graph grammars. This method generates candidate recursive graph grammar productions based on isomorphic ...
Jacek P. Kukluk, Lawrence B. Holder, Diane J. Cook
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 8 months ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos
CVPR
2011
IEEE
12 years 11 months ago
Entropy Rate Superpixel Segmentation
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Ram...