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We discuss the formulation, validation, and parallel performance of a high-order accurate method for the time-domain solution of the three-dimensional Maxwell's equations on general unstructured grids. Attention is paid to the development of a general disc ...
Recently, we introduced a simple variational bound on mutual information, that resolves some of the difficulties in the application of information theory to machine learning. Here we study a specific application to Gaussian channels. It is well known that ...
The goal of neural processing assemblies is varied, and in many cases still rather unclear. However, a possibly reasonable subgoal is that sensory information may be encoded efficiently in a population of neurons. In this context, Mutual Information is a l ...
Methods to improve noise robustness of speech recognition systems often result in degradation of recognition performance for clean speech. Recently proposed Phase AutoCorrelation (PAC) \cite{ikbal03,ikbal03a} based features, showing noticeable improvement ...
La classification bayesienne est la base de la segmentation stochastique non supervisée. Dans ce présent papier, nous présentons une méthode de segmentation stochastique basée sur la combinaison de l’algorithme d’Estimation Maximisation EM, et l’échantillo ...
This work presents the development of an original concept of a side pumped diode pumped crystal laser for the generation of a high power near diffraction limited beam for material processing applications such as cutting, marking and drilling. An approach b ...
Methods to improve noise robustness of speech recognition systems often result in degradation of recognition performance for clean speech. Recently proposed Phase AutoCorrelation (PAC) \cite{ikbal03,ikbal03a} based features, showing noticeable improvement ...
Commande run-to-run pour procédés dynamiques répétitifs D. Bonvin et B. Srinivasan Laboratoire d’Automatique Ecole Polytechnique Fédérale de Lausanne CH-1015, Lausanne, Switzerland Les systèmes dynamiques répétitifs sont caractérisés par une répétition de ...
Classifier performance is often enhanced through combining multiple streams of information. In the context of multi-stream HMM/ANN systems in ASR, a confidence measure widely used in classifier combination is the entropy of the posteriors distribution outp ...
Physical models are commonly used to assess daylighting performance of buildings using sky simulators for purpose of research as well as practice. Recent studies have pointed out the general tendency of scale model assessments to overestimate the performan ...