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» A power penalty method for linear complementarity problems
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MCS
2000
Springer
15 years 1 months ago
Combining Fisher Linear Discriminants for Dissimilarity Representations
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
Elzbieta Pekalska, Marina Skurichina, Robert P. W....
ACII
2005
Springer
14 years 11 months ago
A Novel Regularized Fisher Discriminant Method for Face Recognition Based on Subspace and Rank Lifting Scheme
The null space N(St) of total scatter matrix St contains no useful information for pattern classification. So, discarding the null space N(St) results in dimensionality reduction ...
Wen-Sheng Chen, Pong Chi Yuen, Jian Huang, Jian-Hu...
ANOR
2011
117views more  ANOR 2011»
14 years 1 months ago
A simple and effective algorithm for the MaxMin diversity problem
The challenge of maximizing the diversity of a collection of points arises in a variety of settings, including the setting of search methods for hard optimization problems. One ver...
Daniel Cosmin Porumbel, Jin-Kao Hao, Fred Glover
CORR
2011
Springer
243views Education» more  CORR 2011»
14 years 4 months ago
Distributed Estimation and False Data Detection with Application to Power Networks
This work presents a distributed method for control centers in a power network to estimate the operating condition of the power plant, and to ultimately determine the occurrence o...
Fabio Pasqualetti, Ruggero Carli, Francesco Bullo
ICCV
2011
IEEE
13 years 9 months ago
The Power of Comparative Reasoning
Rank correlation measures are known for their resilience to perturbations in numeric values and are widely used in many evaluation metrics. Such ordinal measures have rarely been ...
Jay Yagnik, Dennis Strelow, David Ross, Ruei-sung ...