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03/09/2022
SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving
Surround-view cameras are a primary sensor for automated driving, used f...
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01/07/2022
Effect of Prior-based Losses on Segmentation Performance: A Benchmark
Today, deep convolutional neural networks (CNNs) have demonstrated state...
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11/16/2020
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey
Today, deep convolutional neural networks (CNNs) have demonstrated state...
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05/11/2020
Statistical learning for sensor localization in wireless networks
Indoor localization has become an important issue for wireless sensor ne...
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03/26/2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks
This paper aims at revisiting Graph Convolutional Neural Networks by bri...
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09/12/2017
Une véritable approche ℓ_0 pour l'apprentissage de dictionnaire
Sparse representation learning has recently gained a great success in si...
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08/26/2016
Maximum Correntropy Unscented Filter
The unscented transformation (UT) is an efficient method to solve the st...
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02/04/2016
Correntropy Maximization via ADMM - Application to Robust Hyperspectral Unmixing
In hyperspectral images, some spectral bands suffer from low signal-to-n...
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01/22/2015
Bi-Objective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models
Nonnegative matrix factorization (NMF) is a powerful class of feature ex...
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11/01/2014
Entropy of Overcomplete Kernel Dictionaries
In signal analysis and synthesis, linear approximation theory considers ...
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09/21/2014
Approximation errors of online sparsification criteria
Many machine learning frameworks, such as resource-allocating networks, ...
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09/21/2014
Analyzing sparse dictionaries for online learning with kernels
Many signal processing and machine learning methods share essentially th...
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07/16/2014
Kernel Nonnegative Matrix Factorization Without the Curse of the Pre-image - Application to Unmixing Hyperspectral Images
The nonnegative matrix factorization (NMF) is widely used in signal and ...
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07/10/2014