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» A Genetic Algorithm for Clustering on Very Large Data Sets
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KDD
2008
ACM
150views Data Mining» more  KDD 2008»
14 years 8 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
FPGA
1999
ACM
139views FPGA» more  FPGA 1999»
13 years 11 months ago
Trading Quality for Compile Time: Ultra-Fast Placement for FPGAs
The demand for high-speed FPGA compilation tools has occurred for three reasons: first, as FPGA device capacity has grown, the computation time devoted to placement and routing h...
Yaska Sankar, Jonathan Rose
MOBISYS
2011
ACM
12 years 10 months ago
AccuLoc: practical localization of performance measurements in 3G networks
Operators of 3G data networks need to distinguish the performance of each geographic area in their 3G networks to detect and resolve local network problems. This is because the qu...
Qiang Xu, Alexandre Gerber, Zhuoqing Morley Mao, J...
WWW
2007
ACM
14 years 8 months ago
GigaHash: scalable minimal perfect hashing for billions of urls
A minimal perfect function maps a static set of keys on to the range of integers {0,1,2, ... , - 1}. We present a scalable high performance algorithm based on random graphs for ...
Kumar Chellapilla, Anton Mityagin, Denis Xavier Ch...
ESANN
2006
13 years 9 months ago
Magnification control for batch neural gas
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
Barbara Hammer, Alexander Hasenfuss, Thomas Villma...