A. L. M. Levada - Dissemin

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All papers authored by A. L. M. Levada

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2024 Eduardo K. Nakao

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, Alexandre L. M. Levada

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Information theory divergences in principal component analysis

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2023 Eduardo K. Nakao, Alexandre L. M. Levada

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Entropic principal component analysis using Cauchy–Schwarz divergence

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2022 Alexandre Levada

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Non-linear Adaptive Wiener Filter for Time Series Smoothing

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Alexandre L. M. Levada

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A Curvature based Isometric Feature Mapping

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Alexandre L. M. Levada

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The curvature effect in Gaussian random fields

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Alexandre L. M. Levada

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On the numerical computation of Fisher–Rao based distances and KL-divergences between Gaussian random fields

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2021 Alexandre L. M. Levada

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Non-local medians filter for joint Gaussian and impulsive image denoising

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Alexandre Luis Magalhaes Levada

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, Michel Ferreira Cardia Haddad

Entropic Laplacian eigenmaps for unsupervised metric learning

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Alexandre Levada

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Information-theoretic analysis of complex systems modeled by two dimensional pairwise Ising models

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Cedrick Bamba Nsimba, Alexandre L. M. Levada

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Combining Deep and Manifold Learning For Nonlinear Feature Extraction in Texture Images

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Alexandre L. M. Levada

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PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning

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Alexandre L. M. Levada

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Improving Parametric PCA Using KL-divergence Between Gaussian-Markov Random Field Models

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Alexandre L. M. Levada

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, Michel F. C. Haddad

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A Kullback-Leibler Divergence-Based Locally Linear Embedding Method: A Novel Parametric Approach for Cluster Analysis

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2020 Alexandre L. M. Levada

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Parametric PCA for unsupervised metric learning

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2019 Cédrick Bamba Nsimba

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, Alexandre Levada

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An information-theoretic wavelet-based texture descriptor using Gaussian Markov random field models

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Alexandre L. M. Levada

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Closed-form Bayesian image denoising: improving the adaptive Wiener filter through pairwise Gaussian-Markov random fields

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Cédrick Bamba Nsimba, Alexandre L. M. Levada

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Nonlinear Dimensionality Reduction in Texture Classification: Is Manifold Learning Better Than PCA?

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Rafael G. Pires

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, Daniel S. Santos

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, Gustavo B. Souza

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, Alexandre L. M. Levada

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, João Paulo Papa

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A Sparse Filtering-Based Approach for Non-blind Deep Image Denoising

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2018 Rafael G. Pires

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, Daniel S. Santos, Gustavo B. Souza

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, Aparecido N. Marana

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, Alexandre L. M. Levada

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, João Paulo Papa

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A Deep Boltzmann Machine-Based Approach for Robust Image Denoising

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2017 Rafael Goncalves Pires, Daniel Felipe Silva Santos, Luis Augusto Martins Pereira, Gustavo Botelho De Souza, Alexandre Luis Magalhaes Levada

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, Joao Paulo Papa

A Robust Restricted Boltzmann Machine for Binary Image Denoising

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