All Stories

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