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ORCIDAlexandre L. M. Levada
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2020 – today
- 2024
[j17]Alaor Cervati Neto
, Alexandre L. M. Levada:
Probabilistic Nearest Neighbors Based Locality Preserving Projections for Unsupervised Metric Learning. J. Univers. Comput. Sci. 30(5): 603-616 (2024)- [j16]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): 4065-4092 (2024) - [j15]Eduardo K. Nakao, Alexandre L. M. Levada:
Information theory divergences in principal component analysis. Pattern Anal. Appl. 27(1): 19 (2024) - [i9]Alexandre L. M. Levada:
The geodesic dispersion phenomenon in random fields dynamics. CoRR abs/2401.14482 (2024) - [i8]Alexandre L. M. Levada:
An information-geometric approach for network decomposition using the q-state Potts model. CoRR abs/2406.17144 (2024) - [i7]Alexandre Luis Magalhaes Levada, Frank Nielsen, Michel Ferreira Cardia Haddad:
Adaptive k-nearest neighbor classifier based on the local estimation of the shape operator. CoRR abs/2409.05084 (2024) - 2023
- [j14]Eduardo K. Nakao, Alexandre L. M. Levada:
Entropic principal component analysis using Cauchy-Schwarz divergence. Knowl. Inf. Syst. 65(12): 5375-5385 (2023) - 2022
- [j13]Alexandre L. M. Levada:
On the numerical computation of Fisher-Rao based distances and KL-divergences between Gaussian random fields. J. Comput. Sci. 62: 101714 (2022) - [c37]Alexandre L. M. Levada:
A Curvature based Isometric Feature Mapping. ICPR 2022: 557-563 - [i6]Alexandre L. M. Levada:
The Curvature Effect in Gaussian Random Fields. CoRR abs/2201.13215 (2022) - [i5]Alexandre L. M. Levada:
On the Kullback-Leibler divergence between pairwise isotropic Gaussian-Markov random fields. CoRR abs/2203.13164 (2022) - 2021
- [j12]Alexandre L. M. Levada:
PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning. Adv. Data Anal. Classif. 15(4): 829-868 (2021) - [j11]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): 1094-1118 (2021) - [c36]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: 406-420 - [c35]Alexandre L. M. Levada:
Improving Parametric PCA Using KL-divergence Between Gaussian-Markov Random Field Models. ICCSA (2) 2021: 55-69 - [c34]Alexandre L. M. Levada:
Non-local medians filter for joint Gaussian and impulsive image denoising. SIBGRAPI 2021: 152-159 - [c33]Alexandre Luis Magalhaes Levada, Michel Ferreira Cardia Haddad:
Entropic Laplacian eigenmaps for unsupervised metric learning. SIBGRAPI 2021: 307-314 - [i4]Alexandre L. M. Levada:
On the curvatures of Gaussian random field manifolds. CoRR abs/2109.09204 (2021) - [i3]Alexandre L. M. Levada:
Geodesic curves in Gaussian random field manifolds. CoRR abs/2111.03905 (2021) - 2020
- [j10]Alexandre L. M. Levada:
Parametric PCA for unsupervised metric learning. Pattern Recognit. Lett. 135: 425-430 (2020) - [c32]Cédrick Bamba Nsimba, Alexandre L. M. Levada:
Combining Deep and Manifold Learning For Nonlinear Feature Extraction in Texture Images. EUSIPCO 2020: 1552-1555 - [c31]Eduardo K. Nakao, Alexandre L. M. Levada:
Unsupervised Learning and Feature Extraction in Hyperspectral Imagery. ICCSA (1) 2020: 792-806 - [c30]Cédrick Bamba Nsimba, Alexandre L. M. Levada:
Exploring Information Theory and Gaussian Markov Random Fields for Color Texture Classification. ICIAR (2) 2020: 130-143 - [c29]Alaor Cervati Neto, Alexandre L. M. Levada:
ISOMAP-KL: a parametric approach for unsupervised metric learning. SIBGRAPI 2020: 287-294
2010 – 2019
- 2019
- [j9]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): 31959-31986 (2019) - [c28]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: 471-482 - [c27]Cédrick Bamba Nsimba, Alexandre L. M. Levada:
Nonlinear Dimensionality Reduction in Texture Classification: Is Manifold Learning Better Than PCA? ICCS (5) 2019: 191-206 - 2017
- [c26]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: 525-533 - [c25]Rafael Goncalves Pires, Daniel Felipe Silva Santos, Luís A. M. Pereira, Gustavo Botelho de Souza, Alexandre Luis Magalhaes Levada, João Paulo Papa:
A Robust Restricted Boltzmann Machine for Binary Image Denoising. SIBGRAPI 2017: 390-396 - [i2]Alexandre L. M. Levada:
Information geometry, simulation and complexity in Gaussian random fields. CoRR abs/1703.04464 (2017) - 2016
- [j8]Denis H. P. Salvadeo, Nelson D. A. Mascarenhas, Alexandre L. M. Levada:
Nonlocal Markovian models for image denoising. J. Electronic Imaging 25(1): 013003 (2016) - [j7]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): 735-739 (2016) - [j6]Alexandre L. M. Levada:
Information geometry, simulation and complexity in Gaussian random fields. Monte Carlo Methods Appl. 22(2): 81-107 (2016) - [c24]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: 994-997 - [c23]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: 281-288 - 2015
- [j5]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: 60-87 (2015) - [c22]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: 313-320 - 2014
- [j4]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): 1002-1036 (2014) - [c21]Daniel Osaku, Alexandre L. M. Levada, João P. Papa:
On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification. CIARP 2014: 462-469 - [c20]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: 2699-2703 - 2013
- [c19]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: 203-214 - [c18]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: 233-240 - 2012
- [c17]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: 16-23 - 2011
- [j3]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): 14-21 (2011) - [c16]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: 581-590 - [c15]Alexandre L. M. Levada, Débora C. Corrêa:
An adaptive approach for contextual audio denoising using local Fisher information. ISCAS 2011: 125-128 - [c14]Débora C. Corrêa, Alexandre L. M. Levada, Luciano da F. Costa:
Finding Community Structure in Music Genres Networks. ISMIR 2011: 447-452 - [i1]Alexandre L. M. Levada:
On the Spatial Dependence Structure of Isotropic Pairwise Gaussian-Markov Random Field Models. CoRR abs/1108.4973 (2011) - 2010
- [j2]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): 1795-1808 (2010)
2000 – 2009
- 2009
- [c13]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: 1-6 - [c12]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: 1165-1168 - [c11]Alexandre L. M. Levada, Alberto Tannús, Nelson D. A. Mascarenhas:
GSAShrink: A Novel Iterative Approach for Wavelet-Based Image Denoising. SIBGRAPI 2009: 156-163 - 2008
- [j1]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): 522-526 (2008) - [c10]Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús:
Improving Potts MRF Model Parameter Estimation in Image Analysis. CSE 2008: 211-218 - [c9]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: 219-226 - [c8]Débora C. Corrêa, Alexandre L. M. Levada, José Hiroki Saito:
Stabilizing and Improving the Learning Speed of 2-Layered LSTM Network. CSE 2008: 293-300 - [c7]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: 109-118 - [c6]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: 1828-1831 - [c5]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: 1-4 - [c4]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: 1236-1240 - [c3]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: 1733-1737 - [c2]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: 1738-1742 - 2007
- [c1]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: 19-25
Coauthor Index
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