Publications associées à Algorithme de Karatsuba

Constrained expectation-maximization algorithm for stochastic inertial error modeling: study of feasibility

Jan Skaloud, Stéphane Guerrier, Yannick Stebler

Stochastic modeling is a challenging task for low-cost sensors whose errors can have complex spectral structures. This makes the tuning process of the INS/GNSS Kalman filter often sensitive and difficult. For example, first-order Gauss–Markov processes are ...

Institute of Physics2011

On Improving Face Detection Performance by Modelling Contextual Information

Sébastien Marcel, Cosmin Atanasoaei

In this paper we present a new method to enhance object detection by removing false alarms and merging multiple detections in a principled way with few parameters. The method models the output of an object classiï¬er which we consider as the context. A hie ...

Idiap2010

An optimal first-order solver for the TV-$L_1$ optical flow problem

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In this study, we address the problem of computing efficiently a dense optical flow between two images under a total variation (TV) regularization and an

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2010

Fast Interscale Wavelet Denoising of Poisson-Corrupted Images

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We present a fast algorithm for image restoration in the presence of Poisson noise. Our approach is based on (1) the minimization of an unbiased estimate of the MSE for Poisson noise, (2) a linear parametrization of the denoising process and (3) the preser ...

Elsevier2010

Fast Detection Of Cells Using A Continuously Scalable Mexican-Hat-Like Template

Michaël Unser, Daniel Sage, Kunal Narayan Chaudhury

We propose a fast algorithm for the detection of cells in fluorescence images. The algorithm, which estimates the number of cells and their respective centers and radii, relies on the fast computation of intensity-based correlations between the cells and a ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Fast Detection of Cells Using a Continuously Scalable Mexican-Hat-Like Template

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IEEE2010

Learning Multi-Modal Dictionaries

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Real-world phenomena involve complex interactions between multiple signal modalities. As a consequence, humans are used to integrate at each instant perceptions from all their senses in order to enrich their understanding of the surrounding world. This par ...

2007

Primal-Dual Enumeration for Multiparametric Linear Programming

Colin Neil Jones

Optimal control problems for constrained linear systems with a linear cost can be posed as multiparametric linear programs (pLPs) and solved explicitly offline. Several algorithms have recently been proposed in the literature that solve these pLPs in a fai ...

Springer Berlin Heidelberg2006

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An optimal first-order solver for the TV-$L_1$ optical flow problem

Pierre Vandergheynst, Gilles Puy, Emmanuel D'Angelo

In this study, we address the problem of computing efficiently a dense optical flow between two images under a total variation (TV) regularization and an

L_1

norm data fidelity constraint using a variational method. We build upon Nesterov's framework for ...

2010

Algorithme de Karatsuba

Constrained expectation-maximization algorithm for stochastic inertial error modeling: study of feasibility

On Improving Face Detection Performance by Modelling Contextual Information

An optimal first-order solver for the TV-$L_1$ optical flow problem

Fast Interscale Wavelet Denoising of Poisson-Corrupted Images

Fast Detection Of Cells Using A Continuously Scalable Mexican-Hat-Like Template

Fast Detection of Cells Using a Continuously Scalable Mexican-Hat-Like Template

Faster Integer Multiplication

Bipartite modular multiplication method

Learning Multi-Modal Dictionaries

Primal-Dual Enumeration for Multiparametric Linear Programming

Graph Chatbot

Chattez avec Graph Search

On Improving Face Detection Performance by Modelling Contextual Information

An optimal first-order solver for the TV-$L_1$ optical flow problem

Fast Detection of Cells Using a Continuously Scalable Mexican-Hat-Like Template

Bipartite modular multiplication method

Primal-Dual Enumeration for Multiparametric Linear Programming

Constrained expectation-maximization algorithm for stochastic inertial error modeling: study of feasibility

Fast Interscale Wavelet Denoising of Poisson-Corrupted Images

Fast Detection Of Cells Using A Continuously Scalable Mexican-Hat-Like Template

Faster Integer Multiplication

Learning Multi-Modal Dictionaries