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Parra, Lucas C.
12 publications
JMLR
2010
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
Jacek P. Dmochowski
,
Paul Sajda
,
Lucas C. Parra
JMLR
2010
Second-Order Bilinear Discriminant Analysis
Christoforos Christoforou
,
Robert Haralick
,
Paul Sajda
,
Lucas C. Parra
NeurIPS
2008
Adaptive Template Matching with Shift-Invariant Semi-NMF
Jonathan L. Roux
,
Alain D. Cheveigné
,
Lucas C. Parra
JMLR
2007
Bilinear Discriminant Component Analysis
Mads Dyrholm
,
Christoforos Christoforou
,
Lucas C. Parra
NeurIPS
2007
Second Order Bilinear Discriminant Analysis for Single Trial EEG Analysis
Christoforos Christoforou
,
Paul Sajda
,
Lucas C. Parra
NeurIPS
2004
Maximising Sensitivity in a Spiking Network
Anthony J. Bell
,
Lucas C. Parra
NeurIPS
2000
Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals
Lucas C. Parra
,
Clay Spence
,
Paul Sajda
NeurIPS
1999
Hierarchical Image Probability (H1P) Models
Clay Spence
,
Lucas C. Parra
NeurIPS
1999
Unmixing Hyperspectral Data
Lucas C. Parra
,
Clay Spence
,
Paul Sajda
,
Andreas Ziehe
,
Klaus-Robert Müller
NeurIPS
1996
Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA
Barak A. Pearlmutter
,
Lucas C. Parra
NeCo
1996
Statistical Independence and Novelty Detection with Information Preserving Nonlinear Maps
Lucas C. Parra
,
Gustavo Deco
,
Stefan Miesbach
NeurIPS
1995
Symplectic Nonlinear Component Analysis
Lucas C. Parra