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SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
14 years 6 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
AUSAI
2005
Springer
14 years 2 months ago
Semantic Correlation Network Based Text Clustering
Abstract. Text documents have sparse data spaces, and nearest neighbors may belong to different classes when using current existing proximity measures to describe the correlation ...
Shaoxu Song, Chunping Li
ICASSP
2010
IEEE
13 years 9 months ago
Consensus in correlated random topologies: Weights for finite time horizon
We consider the weight design problem for the consensus algorithm under a finite time horizon. We assume that the underlying network is random where the links fail at each iterat...
Dusan Jakovetic, João Xavier, José M...
ECCV
2006
Springer
14 years 10 months ago
Aligning Sequences and Actions by Maximizing Space-Time Correlations
Abstract. We introduced an algorithm for sequence alignment, based on maximizing local space-time correlations. Our algorithm aligns sequences of the same action performed at diffe...
Yaron Ukrainitz, Michal Irani
ALIFE
2004
13 years 8 months ago
Development and the Baldwin Effect
Baldwin's classic hypothesis states that behavioral plasticity can speed evolution by (a) smoothing the fitness landscape and (b) indirect genetic assimilation of acquired cha...
Keith L. Downing