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EVOW
2004
Springer
15 years 9 months ago
Evolutionary Search of Thresholds for Robust Feature Set Selection: Application to the Analysis of Microarray Data
Abstract. We deal with two important problems in pattern recognition that arise in the analysis of large datasets. While most feature subset selection methods use statistical techn...
Carlos Cotta, Christian Sloper, Pablo Moscato
COLING
2000
15 years 5 months ago
An Experiment On Incremental Analysis Using Robust Parsing Techniques
The results of an experiment are presented in which an approach for robust parsing has been applied incrementally. They confirm that due to the robust nature of the underlying tec...
Kilian A. Foth, Wolfgang Menzel, Horia F. Pop, Ing...
118
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ISQED
2007
IEEE
146views Hardware» more  ISQED 2007»
15 years 10 months ago
Parameter-Variation-Aware Analysis for Noise Robustness
This paper studies the impact of variability on the noise robustness of logic gates using noise rejection curves (NRCs). NRCs allow noise pulses to be modeled using magnitude-dura...
Mosin Mondal, Kartik Mohanram, Yehia Massoud
FDTC
2008
Springer
144views Cryptology» more  FDTC 2008»
15 years 5 months ago
Comparative Analysis of Robust Fault Attack Resistant Architectures for Public and Private Cryptosystems
The adaptive and active nature of fault based sidechannel attacks along with the large arsenal of fault injection methods complicates the design of effective countermeasures. To o...
Konrad J. Kulikowski, Zhen Wang, Mark G. Karpovsky
AMCS
2008
146views Mathematics» more  AMCS 2008»
15 years 4 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...