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PVM
2005
Springer
16 years 5 days ago
Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
Thomas Serafini, Luca Zanni, Gaetano Zanghirati
HICSS
2003
IEEE
137views Biometrics» more  HICSS 2003»
15 years 12 months ago
Augmented Cognition: Allocation of Attention
We describe a novel, model-based approach to augmented cognition. We first discuss a subset of cognitive limitations that are likely to impair performance. We then note traditiona...
Misha Pavel, Guoping Wang, Kehai Li
EVOW
1999
Springer
15 years 11 months ago
Test Pattern Generation Under Low Power Constraints
A technique is proposed to reduce the peak power consumption of sequential circuits during test pattern application. High-speed computation intensive VLSI systems, as telecommunica...
Fulvio Corno, Maurizio Rebaudengo, Matteo Sonza Re...
CEAS
2006
Springer
15 years 10 months ago
Learning at Low False Positive Rates
Most spam filters are configured for use at a very low falsepositive rate. Typically, the filters are trained with techniques that optimize accuracy or entropy, rather than perfor...
Wen-tau Yih, Joshua Goodman, Geoff Hulten
DAS
2006
Springer
15 years 10 months ago
Performance Comparison of Six Algorithms for Page Segmentation
Abstract. This paper presents a quantitative comparison of six algorithms for page segmentation: X-Y cut, smearing, whitespace analysis, constrained text-line finding, Docstrum, an...
Faisal Shafait, Daniel Keysers, Thomas M. Breuel