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» Nonlinear Component Analysis Based on Correntropy
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ICPR
2004
IEEE
14 years 8 months ago
Optimally Regularised Kernel Fisher Discriminant Analysis
Mika et al. [3] introduce a non-linear formulation of Fisher's linear discriminant, based the now familiar "kernel trick", demonstrating state-of-the-art performanc...
Gavin C. Cawley, Kamel Saadi, Nicola L. C. Talbot
CDC
2010
IEEE
203views Control Systems» more  CDC 2010»
13 years 2 months ago
Cyber security analysis of state estimators in electric power systems
In this paper, we analyze the cyber security of state estimators in Supervisory Control and Data Acquisition (SCADA) systems operating in power grids. Safe and reliable operation o...
André Teixeira, Saurabh Amin, Henrik Sandbe...
ICA
2007
Springer
14 years 1 months ago
ICA in Boolean XOR Mixtures
We consider Independent Component Analysis (ICA) for the case of binary sources, where addition has the meaning of the boolean “Exclusive Or” (XOR) operation. Thus, each mixtur...
Arie Yeredor
IJON
2007
166views more  IJON 2007»
13 years 7 months ago
Kernel PCA for similarity invariant shape recognition
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
Hichem Sahbi
JSS
2011
126views more  JSS 2011»
12 years 10 months ago
A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems
Forecasting workflow activity durations is of great importance to support satisfactory QoS in workflow systems. Traditionally, a workflow system is often designed to facilitate the...
Xiao Liu, Zhiwei Ni, Dong Yuan, Yuan-Chun Jiang, Z...