alexandrelevada
B.Sc in Computer Science M.Sc in Computer Science Ph.D in Computational Physics
Federal University of São CarlosSão Carlos, SP, Brazil
Pinned Repositories
curvature_based_isomap
Curvature_GMRF
MCMC simulation that computes the principal, mean and Gaussian curvatures in Gaussian random fields.
D-AMP_Toolbox
This package contains the code to run Learned D-AMP and the DnCNN, BM3D, BM3D-SAPCA, BLS-GSM, and NLM variants of the D-AMP, D-VAMP, and D-prGAMP algorithms.
GeodesicDispersion
An iterative MCMC based fourth-order Runge-Kutta algorithm for numerical simulation of Gaussian random fields' dynamics
k-graph-laplacian
Python code for the paper K-graph Laplacians for supervised metric learning
PCA-KL
PCA-KL: a relative entropy dimensionality reduction method for unsupervised metric learning
PNN_LPP
Probabilistic Nearest Neighbor based Locality Preserving Projections
Programacao_e_Algoritmos_1
Programacao_e_Algoritmos_2
Materiais e aulas da disciplina Programação e Algoritmos II
RK4_Geodesic_GMRF
alexandrelevada's Repositories
alexandrelevada/Programacao_e_Algoritmos_2
Materiais e aulas da disciplina Programação e Algoritmos II
alexandrelevada/Programacao_e_Algoritmos_1
alexandrelevada/PCA-KL
PCA-KL: a relative entropy dimensionality reduction method for unsupervised metric learning
alexandrelevada/k-graph-laplacian
Python code for the paper K-graph Laplacians for supervised metric learning
alexandrelevada/GeodesicDispersion
An iterative MCMC based fourth-order Runge-Kutta algorithm for numerical simulation of Gaussian random fields' dynamics
alexandrelevada/PNN_LPP
Probabilistic Nearest Neighbor based Locality Preserving Projections
alexandrelevada/RK4_Geodesic_GMRF
alexandrelevada/curvature_based_isomap
alexandrelevada/Curvature_GMRF
MCMC simulation that computes the principal, mean and Gaussian curvatures in Gaussian random fields.
alexandrelevada/D-AMP_Toolbox
This package contains the code to run Learned D-AMP and the DnCNN, BM3D, BM3D-SAPCA, BLS-GSM, and NLM variants of the D-AMP, D-VAMP, and D-prGAMP algorithms.
alexandrelevada/Entropic-Laplacian-Eigenmaps
Python code for paper Entropic Laplacian eigenmaps for\\unsupervised metric learning
alexandrelevada/EntropicLPP
Python implementation for the Entropic LPP method
alexandrelevada/ESSDR
Entropic Semi Supervised DImensionality Reduction
alexandrelevada/FisherInformationGMRF
Python code for the paper "On the numerical approximation of geodesic distances between pairwise isotropic Gaussian-Markov random fields"
alexandrelevada/GNCC
Geodesic nearest centroid classifier
alexandrelevada/GraphKmeans
A graph-based k-means algorithm using geodesic distances
alexandrelevada/K-ISOMAP
Unsupervised metric learning via K-ISOMAP for high-dimensional data clustering
alexandrelevada/KDE_ISOMAP
A Kernel Density Estimation based ISOMAP
alexandrelevada/kkNN
KKNN: an adaptive curvature based nearest neighbor classifier
alexandrelevada/NoLAW
Python implementation of the Non-Linear Adaptive Wiener filter for time series smoothing
alexandrelevada/ParametricPCA
Parametric PCA for unsupervised metric learning
alexandrelevada/PELLE
Parametric Entropic Locally Linear Embedding for Small Sample Size Classification Problems
alexandrelevada/SK-ISOMAP
Supervised K-ISOMAP for dimensionality reduction based metric learning
alexandrelevada/Supervised_tSNE
Supervised t-SNE for Metric Learning using Stochastic and Geodesic Distances