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» On Clustering Using Random Walks
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ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
13 years 6 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
ISPDC
2008
IEEE
14 years 3 months ago
Token Loss Detection for Random Walk based Algorithm
Self-stabilizing token circulation algorithms are not always adapted for dynamic networks. Random walks are well known to play a crucial role in the design of randomized algorithm...
Thibault Bernard, Alain Bui, Devan Sohier
SIGIR
2006
ACM
14 years 2 months ago
Answering complex questions with random walk models
We present a novel framework for answering complex questions that relies on question decomposition. Complex questions are decomposed by a procedure that operates on a Markov chain...
Sanda M. Harabagiu, V. Finley Lacatusu, Andrew Hic...
PAMI
2006
440views more  PAMI 2006»
13 years 8 months ago
Random Walks for Image Segmentation
Abstract-- A novel method is proposed for performing multilabel, interactive image segmentation. Given a small number of pixels with user-defined (or pre-defined) labels, one can a...
Leo Grady
TIT
2010
61views Education» more  TIT 2010»
13 years 3 months ago
Tunstall code, Khodak variations, and random walks
A variable-to-fixed length encoder partitions the source string into variable-length phrases that belong to a given and fixed dictionary. Tunstall, and independently Khodak, desig...
Michael Drmota, Yuriy A. Reznik, Wojciech Szpankow...