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» High Performance Clustering Based on the Similarity Join
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ICPR
2000
IEEE
15 years 10 months ago
Design of Effective Multiple Classifier Systems by Clustering of Classifiers
In the field of pattern recognition, multiple classifier systems based on the combination of outputs of a set of different classifiers have been proposed as a method for the devel...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
ICASSP
2011
IEEE
14 years 10 months ago
A high throughput parallel AVC/H.264 context-based adaptive binary arithmetic decoder
In this paper, based on the proposed parallelization scheme of binary arithmetic decoding, a parallel AVC/H.264 context-based adaptive binary arithmetic coding (CABAC) decoder wit...
Jia-Wei Liang, He-Yuan Lin, Gwo Giun Lee
COMGEO
2004
ACM
15 years 6 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
IPPS
2006
IEEE
16 years 10 days ago
MegaProto/E: power-aware high-performance cluster with commodity technology
In our research project named “Mega-Scale Computing Based on Low-Power Technology and Workload Modeling”, we have been developing a prototype cluster not based on ASIC or FPGA...
Taisuke Boku, Mitsuhisa Sato, Daisuke Takahashi, H...
HICSS
2003
IEEE
123views Biometrics» more  HICSS 2003»
15 years 11 months ago
A Two-Level Approach to Making Class Predictions
In this paper we propose a new two-level methodology for assessing countries’/companies’ economic/financial performance. The methodology is based on two major techniques of gr...
Adrian Costea, Tomas Eklund