Alexandre L. M. Levada

发表

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

Cédrick Bamba Nsimba, Alexandre L. M. Levada, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Unsupervised Learning and Feature Extraction in Hyperspectral Imagery

Alexandre L. M. Levada, Eduardo K. Nakao, A. Levada, 2020, ICCSA.

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

João Paulo Papa, Alexandre L. M. Levada, Rafael Goncalves Pires, 2019, ICANN.

An adaptive approach for contextual audio denoising using local Fisher information

Alexandre L. M. Levada, Débora C. Corrêa, 2011, 2011 IEEE International Symposium of Circuits and Systems (ISCAS).

A Markov Random Field Model for Combining Optimum-Path Forest Classifiers Using Decision Graphs and Game Strategy Approach

João Paulo Papa, Alexandre L. M. Levada, Moacir P. Ponti, 2011, CIARP.

Exploring Information Theory and Gaussian Markov Random Fields for Color Texture Classification

Cédrick Bamba Nsimba, Alexandre L. M. Levada, 2020, ICIAR.

Improving land cover classification through contextual-based optimum-path forest

Rodrigo Nakamura, João Paulo Papa, Alexandre X. Falcão, 2015, Inf. Sci..

Pseudolikelihood Equations for Potts MRF Model Parameter Estimation on Higher Order Neighborhood Systems

Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Alberto Tannús, 2008, IEEE Geoscience and Remote Sensing Letters.

Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization

Alexandre L. M. Levada, José Hiroki Saito, Débora C. Corrêa, 2008, ICANN.

Map-MRF Super-Resolution Image Reconstruction using Maximum Pseudo-Likelihood parameter estimation

Nelson D. A. Mascarenhas, Ana Luísa Dine Martins, Alexandre L. M. Levada, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

A novel MAP-MRF approach for multispectral image contextual classification using combination of suboptimal iterative algorithms

Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Alberto Tannús, 2010, Pattern Recognit. Lett..

Improving Potts MRF Model Parameter Estimation in Image Analysis

Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Alberto Tannús, 2008, 2008 11th IEEE International Conference on Computational Science and Engineering.

A MAP-MRF Approach for Wavelet-Based Image Denoising

Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Alberto Tannus, 2011 .

Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence

Rodrigo Nakamura, João Paulo Papa, Alexandre X. Falcão, 2013, ACIVS.

Denoising based on non local means for ultrasound images with simultaneous multiple noise distributions

Isabelle Bloch, Nelson D. A. Mascarenhas, Florence Tupin, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Nonlocal Markovian models for image denoising

Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Denis H. P. Salvadeo, 2016, J. Electronic Imaging.

Double Noise Filtering in CT: Pre- and Post-Reconstruction

Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Denis H. P. Salvadeo, 2015, 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images.

On the asymptotic variances of Gaussian Markov Random Field model hyperparameters in stochastic image modeling

Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Alberto Tannús, 2008, 2008 19th International Conference on Pattern Recognition.

On the Spatial Dependence Structure of Isotropic Pairwise Gaussian-Markov Random Field Models pdf

Alexandre L. M. Levada, 2011, ArXiv.

Contextual Filtering of CT Images Using Markovian Wiener Filters with a Non Local Means Approach for Statistical Estimation

Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Denis H. P. Salvadeo, 2012, 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images.

Information geometry, simulation and complexity in Gaussian random fields

Alexandre L. M. Levada, A. Levada, 2016, Monte Carlo Methods Appl..

Improving the neural meshes algorithm for 3D surface reconstruction with edge swap operations

Alexandre L. M. Levada, José Hiroki Saito, Gustavo Poli, 2008, SAC '08.

On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification

João Paulo Papa, Alexandre L. M. Levada, Daniel Osaku, 2014, CIARP.

Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA)

Alexandre L. M. Levada, José Hiroki Saito, G. Poli, 2007 .

OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification

Rodrigo Nakamura, João Paulo Papa, Alexandre X. Falcão, 2013, CAIP.

ISOMAP-KL: a parametric approach for unsupervised metric learning

Alexandre L. M. Levada, Alaor Cervati Neto, A. Levada, 2020, 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Fine-Tuning Contextual-Based Optimum-Path Forest for Land-Cover Classification

Alexandre L. M. Levada, Danillo R. Pereira, Daniel Osaku, 2016, IEEE Geoscience and Remote Sensing Letters.

GSAShrink: A Novel Iterative Approach for Wavelet-Based Image Denoising

Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Alberto Tannús, 2009, 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing.

Fast and accurate holistic face recognition using Optimum-Path Forest

Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Joao P. Papa, 2009, 2009 16th International Conference on Digital Signal Processing.

A Novel Model for Combining Projection and Image Filtering Using Kalman and Discrete Wavelet Transform in Computerized Tomography

Alexandre L. M. Levada, Paulo Estevão Cruvinel, Maurício Fernando Lima Pereira, 2008, 2008 11th IEEE International Conference on Computational Science and Engineering.

A Deep Boltzmann Machine-Based Approach for Robust Image Denoising

João Paulo Papa, Aparecido Nilceu Marana, Alexandre L. M. Levada, 2017, CIARP.

Spatially non-homogeneous potts model parameter estimation on higher-order neighborhood systems by maximum pseudo-likelihood

Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Denis H. P. Salvadeo, 2008, SAC '08.

Parametric PCA for unsupervised metric learning

Alexandre L. M. Levada, A. Levada, 2020, Pattern Recognit. Lett..

A block-based Markov random field model estimation for contextual classification using Optimum-Path Forest

João Paulo Papa, Alexandre L. M. Levada, Daniel Osaku, 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).

A graph-based method for playlist generation

Luciano da Fontoura Costa, Alexandre L. M. Levada, Débora C. Corrêa, 2012 .

Improving Face Recognition Performance Using RBPCA MaxLike and Information Fusion

Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Débora C. Corrêa, 2011, Computing in Science & Engineering.

Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA)

Alexandre L. M. Levada, José Hiroki Saito, Gustavo Poli, 2007, 19th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'07).

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

Cédrick Bamba Nsimba, Alexandre L. M. Levada, A. Levada, 2019, ICCS.

Neural network based systems for computer-aided musical composition: supervised x unsupervised learning

Alexandre L. M. Levada, José Hiroki Saito, Débora C. Corrêa, 2008, SAC '08.

Finding Community Structure in Music Genres Networks

Luciano da Fontoura Costa, Alexandre L. M. Levada, Débora C. Corrêa, 2011, ISMIR.

A novel pseudo-likelihood equation for Potts MRF model parameter estimation in image analysis

Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Alberto Tannús, 2008, 2008 15th IEEE International Conference on Image Processing.

Stabilizing and Improving the Learning Speed of 2-Layered LSTM Network

Alexandre L. M. Levada, José Hiroki Saito, Débora C. Corrêa, 2008, 2008 11th IEEE International Conference on Computational Science and Engineering.

A Graph-Based Approach for Contextual Image Segmentation

Aparecido Nilceu Marana, Alexandre L. M. Levada, Paulo Estevão Cruvinel, 2016, 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

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

Alexandre L. M. Levada, A. Levada, 2021, Advances in Data Analysis and Classification.

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

Alexandre L. M. Levada, 2021, 2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

On the curvatures of Gaussian random field manifolds pdf

Alexandre L. M. Levada, A. Levada, 2021, ArXiv.

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

Alexandre L. M. Levada, A. Levada, 2019, Commun. Stat. Simul. Comput..

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

Alexandre L. M. Levada, 2021, ICCSA.

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

Alexandre L. M. Levada, Michel F. C. Haddad, A. Levada, 2021, BRACIS.