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CHES
2005
Springer
149views Cryptology» more  CHES 2005»
15 years 11 months ago
Resistance of Randomized Projective Coordinates Against Power Analysis
Embedded devices implementing cryptographic services are the result of a trade-off between cost, performance and security. Aside from flaws in the protocols and the algorithms us...
William Dupuy, Sébastien Kunz-Jacques
143
Voted
IWINAC
2005
Springer
15 years 11 months ago
Separation of Extracellular Spikes: When Wavelet Based Methods Outperform the Principle Component Analysis
spike separation is a basic prerequisite for analyzing of the cooperative neural behavior and neural code when registering extracelluIarly. Final performance of any spike sorting m...
Alexey N. Pavlov, Valeri A. Makarov, Ioulia Makaro...
157
Voted
SGAI
2005
Springer
15 years 11 months ago
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
Tom Howley, Michael G. Madden, Marie-Louise O'Conn...
154
Voted
AIME
2003
Springer
15 years 11 months ago
Attribute Interactions in Medical Data Analysis
There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional inde...
Aleks Jakulin, Ivan Bratko, Dragica Smrke, Janez D...
ICCAD
2000
IEEE
138views Hardware» more  ICCAD 2000»
15 years 10 months ago
Fast Analysis and Optimization of Power/Ground Networks
This paper presents an efficient method for optimizing power/ground (P/G) networks by widening wires and adding decoupling capacitors (decaps). It proposes a structured skeleton t...
Haihua Su, Kaushik Gala, Sachin S. Sapatnekar