Alexandre L. M. Levada

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 32

Top Topics

Dimensionality Reduction

Markov Random Field

Top Venues

Multim. Tools Appl.

Publications

André R. de Brito, Alexandre L. M. Levada
Dual Non-Local Means: a two-stage information-theoretic filter for image denoising. Multim. Tools Appl. 83 (2) (2024)
Alaor Cervati Neto, Alexandre L. M. Levada
Probabilistic Nearest Neighbors Based Locality Preserving Projections for Unsupervised Metric Learning. J. Univers. Comput. Sci. 30 (5) (2024)
Eduardo K. Nakao, Alexandre L. M. Levada
Information theory divergences in principal component analysis. Pattern Anal. Appl. 27 (1) (2024)
Alexandre L. M. Levada
The geodesic dispersion phenomenon in random fields dynamics. CoRR (2024)
Alexandre L. M. Levada
An information-geometric approach for network decomposition using the q-state Potts model. CoRR (2024)
Eduardo K. Nakao, Alexandre L. M. Levada
Entropic principal component analysis using Cauchy-Schwarz divergence. Knowl. Inf. Syst. 65 (12) (2023)
Alexandre L. M. Levada
A Curvature based Isometric Feature Mapping. ICPR (2022)
Alexandre L. M. Levada
On the Kullback-Leibler divergence between pairwise isotropic Gaussian-Markov random fields. CoRR (2022)
Alexandre L. M. Levada
The Curvature Effect in Gaussian Random Fields. CoRR (2022)
Alexandre L. M. Levada
On the numerical computation of Fisher-Rao based distances and KL-divergences between Gaussian random fields. J. Comput. Sci. 62 (2022)
Alexandre L. M. Levada
Closed-form Bayesian image denoising: improving the adaptive Wiener filter through pairwise Gaussian-Markov random fields. Commun. Stat. Simul. Comput. 50 (4) (2021)
Alexandre L. M. Levada
PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning. Adv. Data Anal. Classif. 15 (4) (2021)
Alexandre L. M. Levada, Michel Ferreira Cardia Haddad
A Kullback-Leibler Divergence-Based Locally Linear Embedding Method: A Novel Parametric Approach for Cluster Analysis. BRACIS (1) (2021)
Alexandre L. M. Levada
On the curvatures of Gaussian random field manifolds. CoRR (2021)
Alexandre L. M. Levada
Non-local medians filter for joint Gaussian and impulsive image denoising. SIBGRAPI (2021)
Alexandre L. M. Levada
Geodesic curves in Gaussian random field manifolds. CoRR (2021)
Alexandre L. M. Levada
Improving Parametric PCA Using KL-divergence Between Gaussian-Markov Random Field Models. ICCSA (2) (2021)
Alaor Cervati Neto, Alexandre L. M. Levada
ISOMAP-KL: a parametric approach for unsupervised metric learning. SIBGRAPI (2020)
Eduardo K. Nakao, Alexandre L. M. Levada
Unsupervised Learning and Feature Extraction in Hyperspectral Imagery. ICCSA (1) (2020)
Cédrick Bamba Nsimba, Alexandre L. M. Levada
Combining Deep and Manifold Learning For Nonlinear Feature Extraction in Texture Images. EUSIPCO (2020)
Alexandre L. M. Levada
Parametric PCA for unsupervised metric learning. Pattern Recognit. Lett. 135 (2020)
Cédrick Bamba Nsimba, Alexandre L. M. Levada
Exploring Information Theory and Gaussian Markov Random Fields for Color Texture Classification. ICIAR (2) (2020)
Cédrick Bamba Nsimba, Alexandre L. M. Levada
Nonlinear Dimensionality Reduction in Texture Classification: Is Manifold Learning Better Than PCA? ICCS (5) (2019)
Rafael Goncalves Pires, Daniel Felipe Silva Santos, Gustavo Botelho de Souza, Alexandre L. M. Levada, João Paulo Papa
A Sparse Filtering-Based Approach for Non-blind Deep Image Denoising. ICANN (Workshop) (2019)
Cédrick Bamba Nsimba, Alexandre L. M. Levada
An information-theoretic wavelet-based texture descriptor using Gaussian Markov random field models. Multim. Tools Appl. 78 (22) (2019)
Alexandre L. M. Levada
Information geometry, simulation and complexity in Gaussian random fields. CoRR (2017)
Rafael Goncalves Pires, Daniel F. S. Santos, Gustavo Botelho de Souza, Aparecido Nilceu Marana, Alexandre L. M. Levada, João Paulo Papa
A Deep Boltzmann Machine-Based Approach for Robust Image Denoising. CIARP (2017)
Daniel Osaku, Alexandre L. M. Levada, João Paulo Papa
A block-based Markov random field model estimation for contextual classification using Optimum-Path Forest. ISCAS (2016)
Daniel Osaku, Danillo Roberto Pereira, Alexandre L. M. Levada, João Paulo Papa
Fine-Tuning Contextual-Based Optimum-Path Forest for Land-Cover Classification. IEEE Geosci. Remote. Sens. Lett. 13 (5) (2016)
Gustavo Botelho de Souza, Gabriel M. Alves, Alexandre L. M. Levada, Paulo Estevão Cruvinel, Aparecido Nilceu Marana
A Graph-Based Approach for Contextual Image Segmentation. SIBGRAPI (2016)
Denis H. P. Salvadeo, Nelson D. A. Mascarenhas, Alexandre L. M. Levada
Nonlocal Markovian models for image denoising. J. Electronic Imaging 25 (1) (2016)
Alexandre L. M. Levada
Information geometry, simulation and complexity in Gaussian random fields. Monte Carlo Methods Appl. 22 (2) (2016)
Vinicius C. Assis, Denis H. P. Salvadeo, Nelson D. A. Mascarenhas, Alexandre L. M. Levada
Double Noise Filtering in CT: Pre- and Post-Reconstruction. SIBGRAPI (2015)
Daniel Osaku, Rodrigo Y. M. Nakamura, Luís A. M. Pereira, Rodrigo Jose Pisani, Alexandre L. M. Levada, Fabio A. M. Cappabianco, Alexandre X. Falcão, João Paulo Papa
Improving land cover classification through contextual-based optimum-path forest. Inf. Sci. 324 (2015)
Daniel Osaku, Alexandre L. M. Levada, João P. Papa
On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification. CIARP (2014)
Alexandre L. M. Levada
Learning from Complex Systems: On the Roles of Entropy and Fisher Information in Pairwise Isotropic Gaussian Markov Random Fields. Entropy 16 (2) (2014)
Denis H. P. Salvadeo, Isabelle Bloch, Florence Tupin, Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Charles-Alban Deledalle, Sonia Dahdouh
Denoising based on non local means for ultrasound images with simultaneous multiple noise distributions. ICIP (2014)
Daniel Osaku, Rodrigo Nakamura, João Paulo Papa, Alexandre L. M. Levada, Fabio A. M. Cappabianco, Alexandre X. Falcão
Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence. ACIVS (2013)
Rodrigo Nakamura, Daniel Osaku, Alexandre L. M. Levada, Fabio Augusto Cappabianco, Alexandre X. Falcão, João Paulo Papa
OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification. CAIP (2) (2013)
Denis H. P. Salvadeo, Nelson D. A. Mascarenhas, Alexandre L. M. Levada
Contextual Filtering of CT Images Using Markovian Wiener Filters with a Non Local Means Approach for Statistical Estimation. SIBGRAPI (2012)
Alexandre L. M. Levada
On the Spatial Dependence Structure of Isotropic Pairwise Gaussian-Markov Random Field Models CoRR (2011)
Débora C. Corrêa, Alexandre L. M. Levada, Luciano da F. Costa
Finding Community Structure in Music Genres Networks. ISMIR (2011)
Moacir P. Ponti Jr., João Paulo Papa, Alexandre L. M. Levada
A Markov Random Field Model for Combining Optimum-Path Forest Classifiers Using Decision Graphs and Game Strategy Approach. CIARP (2011)
Denis H. P. Salvadeo, Nelson D. A. Mascarenhas, Jander Moreira, Alexandre L. M. Levada, Débora C. Corrêa
Improving Face Recognition Performance Using RBPCA MaxLike and Information Fusion. Comput. Sci. Eng. 13 (3) (2011)
Alexandre L. M. Levada, Débora C. Corrêa
An adaptive approach for contextual audio denoising using local Fisher information. ISCAS (2011)
Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús
A novel MAP-MRF approach for multispectral image contextual classification using combination of suboptimal iterative algorithms. Pattern Recognit. Lett. 31 (13) (2010)
Alexandre L. M. Levada, Alberto Tannús, Nelson D. A. Mascarenhas
GSAShrink: A Novel Iterative Approach for Wavelet-Based Image Denoising. SIBGRAPI (2009)
Ana Luísa Dine Martins, Alexandre L. M. Levada, Murillo R. P. Homem, Nelson D. A. Mascarenhas
Map-MRF Super-Resolution Image Reconstruction using Maximum Pseudo-Likelihood parameter estimation. ICIP (2009)
João P. Papa, Alexandre X. Falcão, Alexandre L. M. Levada, Débora C. Corrêa, Denis H. P. Salvadeo, Nelson D. A. Mascarenhas
Fast and accurate holistic face recognition using Optimum-Path Forest. DPS (2009)
Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús
On the asymptotic variances of Gaussian Markov Random Field model hyperparameters in stochastic image modeling. ICPR (2008)
Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús
A novel pseudo-likelihood equation for Potts MRF model parameter estimation in image analysis. ICIP (2008)
Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús, Denis H. P. Salvadeo
Spatially non-homogeneous potts model parameter estimation on higher-order neighborhood systems by maximum pseudo-likelihood. SAC (2008)
Débora C. Corrêa, Alexandre L. M. Levada, José Hiroki Saito
Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization. ICANN (1) (2008)
Débora C. Corrêa, Alexandre L. M. Levada, José Hiroki Saito, João F. Mari
Neural network based systems for computer-aided musical composition: supervised x unsupervised learning. SAC (2008)
João F. Mari, José Hiroki Saito, Gustavo Poli, Marcelo R. Zorzan, Alexandre L. M. Levada
Improving the neural meshes algorithm for 3D surface reconstruction with edge swap operations. SAC (2008)
Marcos Antonio de Matos Laia, Alexandre L. M. Levada, Leonardo C. Botega, Maurício Fernando Lima Pereira, Paulo Estevão Cruvinel, Álvaro Macedo
A Novel Model for Combining Projection and Image Filtering Using Kalman and Discrete Wavelet Transform in Computerized Tomography. CSE (2008)
Débora C. Corrêa, Alexandre L. M. Levada, José Hiroki Saito
Stabilizing and Improving the Learning Speed of 2-Layered LSTM Network. CSE (2008)
Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús
Pseudolikelihood Equations for Potts MRF Model Parameter Estimation on Higher Order Neighborhood Systems. IEEE Geosci. Remote. Sens. Lett. 5 (3) (2008)
Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús
Improving Potts MRF Model Parameter Estimation in Image Analysis. CSE (2008)
Gustavo Poli, João F. Mari, José Hiroki Saito, Alexandre L. M. Levada
Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA). SBAC-PAD (2007)