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ICML
2010
IEEE
15 years 7 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
CORR
2010
Springer
188views Education» more  CORR 2010»
15 years 6 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...
AUTOMATICA
2006
113views more  AUTOMATICA 2006»
15 years 6 months ago
Least costly identification experiment for control
All approaches to optimal experiment design for control have so far focused on deriving an input signal (or input signal spectrum) that minimizes some control-oriented measure of ...
Xavier Bombois, Gérard Scorletti, Michel Ge...
IJON
2006
53views more  IJON 2006»
15 years 6 months ago
Sub-intrapersonal space analysis for face recognition
Bayesian subspace analysis has been successfully applied in face recognition. However, it suffers from its operating on a whole face difference and using one global linear subspac...
Xiaoyang Tan, Jun Liu, Songcan Chen
CVGIP
2007
88views more  CVGIP 2007»
15 years 6 months ago
Autonomous pedestrians
We address the difficult open problem of emulating the rich complexity of real pedestrians in urban environments. Our artificial life approach integrates motor, perceptual, beha...
Wei Shao, Demetri Terzopoulos