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FPGA
2000
ACM
161views FPGA» more  FPGA 2000»
13 years 11 months ago
The effect of LUT and cluster size on deep-submicron FPGA performance and density
In this paper we revisit the FPGA architectural issue of the effect of logic block functionality on FPGA performance and density. In particular, in the context of lookup table, cl...
Elias Ahmed, Jonathan Rose
WG
2007
Springer
14 years 1 months ago
On Finding Graph Clusterings with Maximum Modularity
Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines, and in particular in the compl...
Ulrik Brandes, Daniel Delling, Marco Gaertler, Rob...
TKDE
2008
121views more  TKDE 2008»
13 years 7 months ago
On Modularity Clustering
Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines, and in particular in the compl...
Ulrik Brandes, Daniel Delling, Marco Gaertler, Rob...
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
14 years 8 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
BMCBI
2007
86views more  BMCBI 2007»
13 years 7 months ago
Tandem mass spectrometry data quality assessment by self-convolution
Background: Many algorithms have been developed for deciphering the tandem mass spectrometry (MS) data sets. They can be essentially clustered into two classes. The first performs...
Keng Wah Choo, Wai Mun Tham