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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
14 years 9 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
KDD
2005
ACM
157views Data Mining» more  KDD 2005»
14 years 9 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
KDD
2002
ACM
194views Data Mining» more  KDD 2002»
14 years 9 months ago
Scale Space Exploration For Mining Image Information Content
Images are highly complex multidimensional signals, with rich and complicated information content. For this reason they are difficult to analyze through a unique automated approach...
Mariana Ciucu, Patrick Héas, Mihai Datcu, J...
VLSID
2001
IEEE
164views VLSI» more  VLSID 2001»
14 years 9 months ago
An Efficient Parallel Transparent Bist Method For Multiple Embedded Memory Buffers
In this paper, we propose a new transparent built-in self-test ( TBIST ) method to test multiple embedded memory arrays with various sizes in parallel. First, a new transparent tes...
Der-Cheng Huang, Wen-Ben Jone, Sunil R. Das
VLSID
2001
IEEE
184views VLSI» more  VLSID 2001»
14 years 9 months ago
Battery Life Estimation of Mobile Embedded Systems
Since battery life directly impacts the extent and duration of mobility, one of the key considerations in the design of a mobile embedded system should be to maximize the energy d...
Debashis Panigrahi, Sujit Dey, Ramesh R. Rao, Kani...
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