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» Clustering with Multiple Graphs
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ICIP
2001
IEEE
16 years 2 months ago
Video similarity detection with video signature clustering
The proliferation of video content on the web makes similarity detection an indispensable tool in web data management, searching, and navigation. We have previously proposed a com...
Sen-Ching S. Cheung, Avideh Zakhor
PAMI
2008
197views more  PAMI 2008»
15 years 15 days ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...
102
Voted
WWW
2010
ACM
15 years 7 months ago
Measurement-calibrated graph models for social network experiments
Access to realistic, complex graph datasets is critical to research on social networking systems and applications. Simulations on graph data provide critical evaluation of new sys...
Alessandra Sala, Lili Cao, Christo Wilson, Robert ...
CORR
2010
Springer
186views Education» more  CORR 2010»
15 years 19 days ago
Layered Label Propagation: A MultiResolution Coordinate-Free Ordering for Compressing Social Networks
We continue the line of research on graph compression started in [BV04], but we move our focus to the compression of social networks in a proper sense (e.g., LiveJournal): the app...
Paolo Boldi, Marco Rosa, Massimo Santini, Sebastia...
77
Voted
CVPR
1999
IEEE
16 years 2 months ago
Stochastic Image Segmentation by Typical Cuts
We present a stochastic clustering algorithm which uses pairwise similarity of elements, based on a new graph theoretical algorithm for the sampling of cuts in graphs. The stochas...
Yoram Gdalyahu, Daphna Weinshall, Michael Werman