All Stories

  1. NoLAW: A Recursive Non-Linear Adaptive Wiener Filter for Time Series Smoothing
  2. The Geodesic Dispersion Phenomenon in Random Field Dynamics: Probing the Shape of Time
  3. Entropic Semi-Supervised Dimensionality Reduction for Distance Metric Learning
  4. Minimum Information Trees for High Dimensional Data Visualization in Clustering
  5. A New Kernel Density Estimation-Based Entropic Isometric Feature Mapping for Unsupervised Metric Learning
  6. Probabilistic Nearest Neighbors Based Locality Preserving Projections for Unsupervised Metric Learning
  7. Information theory divergences in principal component analysis
  8. Supervised t-SNE for Metric Learning With Stochastic and Geodesic Distances
  9. Entropic principal component analysis using Cauchy–Schwarz divergence
  10. Non-linear Adaptive Wiener Filter for Time Series Smoothing
  11. A Curvature based Isometric Feature Mapping
  12. The curvature effect in Gaussian random fields
  13. On the numerical computation of Fisher–Rao based distances and KL-divergences between Gaussian random fields
  14. Entropic Laplacian eigenmaps for unsupervised metric learning
  15. Non-local medians filter for joint Gaussian and impulsive image denoising
  16. Information-theoretic analysis of complex systems modeled by two dimensional pairwise Ising models
  17. Combining Deep and Manifold Learning For Nonlinear Feature Extraction in Texture Images
  18. PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning
  19. A Kullback-Leibler Divergence-Based Locally Linear Embedding Method: A Novel Parametric Approach for Cluster Analysis
  20. Improving Parametric PCA Using KL-divergence Between Gaussian-Markov Random Field Models
  21. Parametric PCA for unsupervised metric learning
  22. An information-theoretic wavelet-based texture descriptor using Gaussian Markov random field models
  23. Closed-form Bayesian image denoising: improving the adaptive Wiener filter through pairwise Gaussian-Markov random fields
  24. A Sparse Filtering-Based Approach for Non-blind Deep Image Denoising
  25. Nonlinear Dimensionality Reduction in Texture Classification: Is Manifold Learning Better Than PCA?
  26. A Deep Boltzmann Machine-Based Approach for Robust Image Denoising
  27. A Robust Restricted Boltzmann Machine for Binary Image Denoising
  28. A Graph-Based Approach for Contextual Image Segmentation
  29. Fine-Tuning Contextual-Based Optimum-Path Forest for Land-Cover Classification
  30. A block-based Markov random field model estimation for contextual classification using Optimum-Path Forest
  31. Nonlocal Markovian models for image denoising
  32. Information geometry, simulation and complexity in Gaussian random fields
  33. Improving land cover classification through contextual-based optimum-path forest
  34. Random Fields in Complex Systems Modelling: Information Geometry and Fisher Curves
  35. Double Noise Filtering in CT: Pre- and Post-Reconstruction
  36. Information Geometry in Gaussian Random Fields: Searching for an Arrow of Time in Complex Systems
  37. Denoising based on non local means for ultrasound images with simultaneous multiple noise distributions
  38. Learning from Complex Systems: On the Roles of Entropy and Fisher Information in Pairwise Isotropic Gaussian Markov Random Fields
  39. Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence
  40. OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification
  41. Contextual Filtering of CT Images Using Markovian Wiener Filters with a Non Local Means Approach for Statistical Estimation
  42. An adaptive approach for contextual audio denoising using local Fisher information
  43. Improving Face Recognition Performance Using RBPCA MaxLike and Information Fusion
  44. A MAP-MRF Approach for Wavelet-Based Image Denoising
  45. On Combining Higher-Order MAP-MRF Based Classifiers for Image Labeling
  46. A Markov Random Field Model for Combining Optimum-Path Forest Classifiers Using Decision Graphs and Game Strategy Approach
  47. A novel MAP-MRF approach for multispectral image contextual classification using combination of suboptimal iterative algorithms
  48. Pseudo-likelihood equations for Potts model on higher-order neighborhood systems: A quantitative approach for parameter estimation in image analysis
  49. Map-MRF Super-Resolution Image Reconstruction using Maximum Pseudo-Likelihood parameter estimation
  50. Statistical Inference on Markov Random Fields: Parameter Estimation, Asymptotic Evaluation and Contextual Classification of NMR Multispectral Images
  51. GSAShrink: A Novel Iterative Approach for Wavelet-Based Image Denoising
  52. Fast and accurate holistic face recognition using Optimum-Path Forest
  53. On the asymptotic variances of Gaussian Markov Random Field model hyperparameters in stochastic image modeling
  54. Improving Potts MRF Model Parameter Estimation in Image Analysis
  55. Stabilizing and Improving the Learning Speed of 2-Layered LSTM Network
  56. A Novel Model for Combining Projection and Image Filtering Using Kalman and Discrete Wavelet Transform in Computerized Tomography
  57. Pseudolikelihood Equations for Potts MRF Model Parameter Estimation on Higher Order Neighborhood Systems
  58. Improving Potts MRF model parameter estimation using higher-order neighborhood systems on stochastic image modeling
  59. Clustering of fully polarimetric SAR data using finite Gp0 mixture model and SEM Algorithm
  60. Novel approaches for face recognition: Template-matching using Dynamic Time Warping and LSTM neural network supervised classification
  61. Neural network based systems for computer-aided musical composition
  62. A novel pseudo-likelihood equation for Potts MRF model parameter estimation in image analysis
  63. Spatially non-homogeneous potts model parameter estimation on higher-order neighborhood systems by maximum pseudo-likelihood
  64. Improving the neural meshes algorithm for 3D surface reconstruction with edge swap operations
  65. Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA)
  66. Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA)
  67. Combinação de modelos de campos aleatórios markovianos para classificação contextual de imagens multiespectrais
  68. Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization