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BIOSIG
2003
140views Biometrics» more  BIOSIG 2003»
15 years 3 months ago
Multifactor Biometric Sketch Authentication
: In this paper we propose a multifactor biometric sketch authentication method based on biometric sketch recognition and a user’s personal knowledge about the sketch‘s content...
Arslan Brömme, Stephan Al-Zubi
116
Voted
ICML
2010
IEEE
15 years 3 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
AMCS
2008
146views Mathematics» more  AMCS 2008»
15 years 2 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, ...
CORR
2010
Springer
188views Education» more  CORR 2010»
15 years 2 months ago
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
High-dimensional statistical inference deals with models in which the the number of parameters p is comparable to or larger than the sample size n. Since it is usually impossible ...
Sahand Negahban, Pradeep Ravikumar, Martin J. Wain...
CSDA
2010
157views more  CSDA 2010»
15 years 2 months ago
Robust estimation of constrained covariance matrices for confirmatory factor analysis
Confirmatory factor analysis (CFA) is a data anylsis procedure that is widely used in social and behavioral sciences in general and other applied sciences that deal with large qua...
E. Dupuis Lozeron, M. P. Victoria-Feser