Publications associées à Forêt d'arbres décisionnels

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Basis Identification from Random Sparse Samples

Rémi Gribonval, Karin Schnass

This article treats the problem of learning a dictionary providing sparse representations for a given signal class, via

\ell_1

minimisation. The problem is to identify a dictionary

\dico

from a set of training samples

\Y

knowing that

\Y = \dico \X

...

2009

Forêt d'arbres décisionnels

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An Information-Based Approximation Scheme for Stochastic Optimization Problems in Continuous Time

Multi-experts scheduling system for real-time applications

Convergent Bounds for Stochastic Programs with Expected Value Constraints

A combined neural network/gradient-based approach for the identification of constitutive model parameters using self-boring pressuremeter tests

Basis Identification from Random Sparse Samples

Electrokinetic control of sample splitting at a channel bifurcation using isotachophoresis

Keypoint Signatures for Fast Learning and Recognition

Gene Expression Data Analysis Using a Novel Approach to Biclustering Combining Discrete and Continuous Data

Fast multi-view face tracking with pose estimation

Fast multi-view face tracking with pose estimation

Gene Expression Data Analysis Using a Novel Approach to Biclustering Combining Discrete and Continuous Data

Multi-experts scheduling system for real-time applications

Convergent Bounds for Stochastic Programs with Expected Value Constraints

A combined neural network/gradient-based approach for the identification of constitutive model parameters using self-boring pressuremeter tests

Basis Identification from Random Sparse Samples

Fast multi-view face tracking with pose estimation

Electrokinetic control of sample splitting at a channel bifurcation using isotachophoresis

Fast multi-view face tracking with pose estimation

An Information-Based Approximation Scheme for Stochastic Optimization Problems in Continuous Time

Keypoint Signatures for Fast Learning and Recognition