Alexandre L. M. Levada
Orcid: 0000-0001-8253-2729
According to our database1,
Alexandre L. M. Levada
authored at least 59 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
Pattern Anal. Appl., March, 2024
Multim. Tools Appl., January, 2024
2023
Knowl. Inf. Syst., December, 2023
2022
On the numerical computation of Fisher-Rao based distances and KL-divergences between Gaussian random fields.
J. Comput. Sci., 2022
On the Kullback-Leibler divergence between pairwise isotropic Gaussian-Markov random fields.
CoRR, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
Closed-form Bayesian image denoising: improving the adaptive Wiener filter through pairwise Gaussian-Markov random fields.
Commun. Stat. Simul. Comput., 2021
PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning.
Adv. Data Anal. Classif., 2021
Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021
Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021
Improving Parametric PCA Using KL-divergence Between Gaussian-Markov Random Field Models.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
A Kullback-Leibler Divergence-Based Locally Linear Embedding Method: A Novel Parametric Approach for Cluster Analysis.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
2020
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020
Exploring Information Theory and Gaussian Markov Random Fields for Color Texture Classification.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Combining Deep and Manifold Learning For Nonlinear Feature Extraction in Texture Images.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
An information-theoretic wavelet-based texture descriptor using Gaussian Markov random field models.
Multim. Tools Appl., 2019
Nonlinear Dimensionality Reduction in Texture Classification: Is Manifold Learning Better Than PCA?
Proceedings of the Computational Science - ICCS 2019, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
2017
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017
2016
Monte Carlo Methods Appl., 2016
IEEE Geosci. Remote. Sens. Lett., 2016
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016
A block-based Markov random field model estimation for contextual classification using Optimum-Path Forest.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
2015
Inf. Sci., 2015
Proceedings of the 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015
2014
Learning from Complex Systems: On the Roles of Entropy and Fisher Information in Pairwise Isotropic Gaussian Markov Random Fields.
Entropy, 2014
Denoising based on non local means for ultrasound images with simultaneous multiple noise distributions.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
2013
OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification.
Proceedings of the Computer Analysis of Images and Patterns, 2013
Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2013
2012
Contextual Filtering of CT Images Using Markovian Wiener Filters with a Non Local Means Approach for Statistical Estimation.
Proceedings of the 25th SIBGRAPI Conference on Graphics, Patterns and Images, 2012
2011
Comput. Sci. Eng., 2011
On the Spatial Dependence Structure of Isotropic Pairwise Gaussian-Markov Random Field Models
CoRR, 2011
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011
A Markov Random Field Model for Combining Optimum-Path Forest Classifiers Using Decision Graphs and Game Strategy Approach.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011
2010
A novel MAP-MRF approach for multispectral image contextual classification using combination of suboptimal iterative algorithms.
Pattern Recognit. Lett., 2010
2009
Proceedings of the SIBGRAPI 2009, 2009
Map-MRF Super-Resolution Image Reconstruction using Maximum Pseudo-Likelihood parameter estimation.
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the 16th International Conference on Digital Signal Processing, 2009
2008
Pseudolikelihood Equations for Potts MRF Model Parameter Estimation on Higher Order Neighborhood Systems.
IEEE Geosci. Remote. Sens. Lett., 2008
Improving the neural meshes algorithm for 3D surface reconstruction with edge swap operations.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008
Spatially non-homogeneous potts model parameter estimation on higher-order neighborhood systems by maximum pseudo-likelihood.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008
Neural network based systems for computer-aided musical composition: supervised x unsupervised learning.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008
On the asymptotic variances of Gaussian Markov Random Field model hyperparameters in stochastic image modeling.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
A novel pseudo-likelihood equation for Potts MRF model parameter estimation in image analysis.
Proceedings of the International Conference on Image Processing, 2008
Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization.
Proceedings of the Artificial Neural Networks, 2008
Proceedings of the 11th IEEE International Conference on Computational Science and Engineering, 2008
A Novel Model for Combining Projection and Image Filtering Using Kalman and Discrete Wavelet Transform in Computerized Tomography.
Proceedings of the 11th IEEE International Conference on Computational Science and Engineering, 2008
Proceedings of the 11th IEEE International Conference on Computational Science and Engineering, 2008
2007
Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA).
Proceedings of the 19th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2007), 2007