All Stories

  1. GEO-NLM: Non-Local Single Image Denoising With Geodesic Distances in Weighted Graphs

    Article • IEEE Access, January 2026, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  2. Shape Operator Based Principal Component Analysis for Unsupervised Metric Learning

    Article • January 2026, Elsevier

    Dr Alexandre M Levada

  3. Information Graphs: filtering and visualizing complex networks via q-state Potts model geometry

    Article • Journal of Complex Networks, November 2025, Oxford University Press (OUP)

    Dr Alexandre M Levada

  4. NoLAW: A Recursive Non-Linear Adaptive Wiener Filter for Time Series Smoothing

    Article • Annals of Data Science, September 2025, Springer Science + Business Media

    Dr Alexandre M Levada

  5. The Geodesic Dispersion Phenomenon in Random Field Dynamics: Probing the Shape of Time

    Article • Journal of Physics Complexity, September 2025, Institute of Physics Publishing

    Dr Alexandre M Levada

  6. Entropic Semi-Supervised Dimensionality Reduction for Distance Metric Learning

    Article • International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, March 2025, World Scientific Pub Co Pte Lt

    Dr Alexandre M Levada

  7. Minimum Information Trees for High Dimensional Data Visualization in Clustering

    Article • IEEE Access, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  8. A New Kernel Density Estimation-Based Entropic Isometric Feature Mapping for Unsupervised Metric Learning

    Article • Annals of Data Science, July 2024, Springer Science + Business Media

    Dr Alexandre M Levada

  9. Probabilistic Nearest Neighbors Based Locality Preserving Projections for Unsupervised Metric Learning

    Article • JUCS - Journal of Universal Computer Science, May 2024, Pensoft Publishers

    Dr Alexandre M Levada

  10. Information theory divergences in principal component analysis

    Article • Pattern Analysis and Applications, February 2024, Springer Science + Business Media

    Dr Alexandre M Levada

  11. Supervised t-SNE for Metric Learning With Stochastic and Geodesic Distances

    Article • IEEE Canadian Journal of Electrical and Computer Engineering, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  12. Entropic principal component analysis using Cauchy–Schwarz divergence

    Article • Knowledge and Information Systems, July 2023, Springer Science + Business Media

    Dr Alexandre M Levada

  13. Non-linear Adaptive Wiener Filter for Time Series Smoothing

    Article • November 2022, Research Square

    Dr Alexandre M Levada

  14. A Curvature based Isometric Feature Mapping

    Article • August 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  15. The curvature effect in Gaussian random fields

    Article • Journal of Physics Complexity, July 2022, Institute of Physics Publishing

    Dr Alexandre M Levada

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

    Article • Journal of Computational Science, July 2022, Elsevier

    Dr Alexandre M Levada

  17. Entropic Laplacian eigenmaps for unsupervised metric learning

    Article • October 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

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

    Article • October 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

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

    Article • March 2021, Research Square

    Dr Alexandre M Levada

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

    Article • January 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

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

    Article • Advances in Data Analysis and Classification, January 2021, Springer Science + Business Media

    Dr Alexandre M Levada

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

    Article • January 2021, Springer Science + Business Media

    Dr Alexandre M Levada

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

    Article • January 2021, Springer Science + Business Media

    Dr Alexandre M Levada

  24. Parametric PCA for unsupervised metric learning

    Article • Pattern Recognition Letters, May 2020, Elsevier

    Dr Alexandre M Levada

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

    Article • Multimedia Tools and Applications, July 2019, Springer Science + Business Media

    Dr Alexandre M Levada

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

    Article • Communications in Statistics - Simulation and Computation, April 2019, Taylor & Francis

    Dr Alexandre M Levada

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

    Article • January 2019, Springer Science + Business Media

    Dr Alexandre M Levada

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

    Article • January 2019, Springer Science + Business Media

    Dr Alexandre M Levada

  29. A Deep Boltzmann Machine-Based Approach for Robust Image Denoising

    Article • January 2018, Springer Science + Business Media

    Dr Alexandre M Levada

  30. A Robust Restricted Boltzmann Machine for Binary Image Denoising

    Article • October 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  31. A Graph-Based Approach for Contextual Image Segmentation

    Article • October 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

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

    Article • IEEE Geoscience and Remote Sensing Letters, May 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

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

    Article • May 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  34. Nonlocal Markovian models for image denoising

    Article • Journal of Electronic Imaging, January 2016, SPIE

    Dr Alexandre M Levada

  35. Information geometry, simulation and complexity in Gaussian random fields

    Article • Monte Carlo Methods and Applications, January 2016, De Gruyter

    Dr Alexandre M Levada

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

    Article • Information Sciences, December 2015, Elsevier

    Dr Alexandre M Levada

  37. Random Fields in Complex Systems Modelling: Information Geometry and Fisher Curves

    Article • November 2015, MDPI AG

    Dr Alexandre M Levada

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

    Article • August 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  39. Information Geometry in Gaussian Random Fields: Searching for an Arrow of Time in Complex Systems

    Article • November 2014, MDPI AG

    Dr Alexandre M Levada

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

    Article • October 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  41. Learning from Complex Systems: On the Roles of Entropy and Fisher Information in Pairwise Isotropic Gaussian Markov Random Fields

    Article • Entropy, February 2014, MDPI AG

    Dr Alexandre M Levada

  42. Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence

    Article • January 2013, Springer Science + Business Media

    Dr Alexandre M Levada

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

    Article • January 2013, Springer Science + Business Media

    Dr Alexandre M Levada

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

    Article • August 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  45. An adaptive approach for contextual audio denoising using local Fisher information

    Article • May 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  46. Improving Face Recognition Performance Using RBPCA MaxLike and Information Fusion

    Article • Computing in Science & Engineering, May 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  47. A MAP-MRF Approach for Wavelet-Based Image Denoising

    Article • April 2011, IntechOpen

    Dr Alexandre M Levada

  48. On Combining Higher-Order MAP-MRF Based Classifiers for Image Labeling

    Article • January 2011, Springer Science + Business Media

    Dr Alexandre M Levada

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

    Article • January 2011, Springer Science + Business Media

    Dr Alexandre M Levada

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

    Article • Pattern Recognition Letters, October 2010, Elsevier

    Dr Alexandre M Levada

  51. Pseudo-likelihood equations for Potts model on higher-order neighborhood systems: A quantitative approach for parameter estimation in image analysis

    Article • Brazilian Journal of Probability and Statistics, December 2009, Institute of Mathematical Statistics

    Dr Alexandre M Levada

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

    Article • November 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  53. Statistical Inference on Markov Random Fields: Parameter Estimation, Asymptotic Evaluation and Contextual Classification of NMR Multispectral Images

    Article • October 2009, IntechOpen

    Dr Alexandre M Levada

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

    Article • October 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  55. Fast and accurate holistic face recognition using Optimum-Path Forest

    Article • July 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

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

    Article • December 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  57. Improving Potts MRF Model Parameter Estimation in Image Analysis

    Article • July 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

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

    Article • July 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

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

    Article • July 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

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

    Article • IEEE Geoscience and Remote Sensing Letters, July 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  61. Improving Potts MRF model parameter estimation using higher-order neighborhood systems on stochastic image modeling

    Article • June 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  62. Clustering of fully polarimetric SAR data using finite Gp0 mixture model and SEM Algorithm

    Article • June 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada, Prof. Alejandro C. Frery

  63. Novel approaches for face recognition: Template-matching using Dynamic Time Warping and LSTM neural network supervised classification

    Article • June 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  64. Neural network based systems for computer-aided musical composition

    Article • January 2008, ACM (Association for Computing Machinery)

    Dr Alexandre M Levada

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

    Article • January 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

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

    Article • January 2008, ACM (Association for Computing Machinery)

    Dr Alexandre M Levada

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

    Article • January 2008, ACM (Association for Computing Machinery)

    Dr Alexandre M Levada

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

    Article • October 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

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

    Article • October 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Alexandre M Levada

  70. Combinação de modelos de campos aleatórios markovianos para classificação contextual de imagens multiespectrais

    Article • Universidade de Sao Paulo Sistema Integrado de Bibliotecas - SIBiUSP

    Dr Alexandre M Levada

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

    Article • Springer Science + Business Media

    Dr Alexandre M Levada