bghojogh/Principal-Sample-Analysis

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Created over 4 years ago
Updated 11 months ago

bghojogh/Principal-Sample-Analysis

bghojogh

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The code for Principal Sample Analysis (PSA) for prototype selection and instance ranking

DNMPC-Platooning

The code for the project Distributed Nonlinear Model Predictive Control (DNMPC) for vehicle platooning

Haze-Removal-Dark-Channel-Prior

The code for haze removal using dark channel prior, which was a part of the self-driving car project

Principal-Component-Analysis

The code for Principal Component Analysis (PCA), dual PCA, Kernel PCA, Supervised PCA (SPCA), dual SPCA, and Kernel SPCA

Generative-LLE

The code for Generative Locally Linear Embedding (GLLE).

Fuzzy-Investment-Counselor

The code for Fuzzy Investment Counselor (FIC) and Markowitz portfolio theory for stock investment

Fisher-Triplet-Contrastive-Loss

The code for Fisher Discriminant Triplet (FDT) and Fisher Discriminant Contrastive (FDC) loss functions

Generalized-Eigenvalue-Problem

The code for generalized eigenvalue problem

iMondrian

The code for Isolation Mondrian (iMondrian) forest for batch and online anomaly detection

Fisher-Discriminant-Analysis

The code for Fisher Discriminant Analysis (FDA) and Kernel Fisher Discriminant Analysis (Kernel FDA)

Offline-Online-Triplet-Mining

The code for offline and online triplet mining for Siamese networks

Feature-Extraction-Survey

The code for the survey paper of feature extraction

SNE-tSNE

The codes for Stochastic Neighbor Embedding (SNE), t-SNE, and their variants.

Fitting-Mixture-Distribution

The code for fitting a mixture distribution to data and Gaussian Mixture Model (GMM)

Reinforcement-Learning

The codes for example algorithms in reinforcement learning

Jupyter Notebook

Metaheuristic-Optimization

The codes for metaheuristic optimization algorithms

LBFGS-Vector-Transport-Free

The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds

Quantile-Quantile-Embedding

The code for Quantile-Quantile Embedding (QQE).

Roweis-Discriminant-Analysis

The code for Roweis Discriminant Analysis (RDA) and Kernel RDA methods

Gravitational-Dimensionality-Reduction

The code for the Gravitational Dimensionality Reduction (GDR) algorithm

MDS-SammonMapping-Isomap

The code for Multidimensional Scaling (MDS), Sammon Mapping, and Isomap.

Image-Structural-Component-Analysis

The code for Image Structural Component Analysis (ISCA) and Kernel ISCA

PMSO-Metaheuristic-Optimization

The code for Pontogammarus Maeoticus Swarm Optimization (PMSO) which is a metaheuristic optimization algorithm

Key-Poses-Action-Recognition

The code for key-poses and key-joints for 3D action recognition

Affective-Manifold

This is the code for affective manifolds.

Locally-Linear-Image-Structural-Embedding

The code for Locally Linear Image Structural Embedding (LLISE) and Kernel LLISE

Siamese-Network-Histopathology

The code for the paper "Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study"

Face-Gender-Recognition-Fusion

The code for the paper "A Fusion-based Gender Recognition Method Using Facial Images"

Prototype-Selection-Matrix-Decomposition

The code for prototype selection and instance ranking using matrix decomposition and subspace learning

Histopathology-Magnification-Generalization

The code for magnification generalization for the histopathology image embedding

TBO-Metaheuristic-Optimization

The code for Tree-Based Optimization (TBO) which is a meta-algorithm for metaheuristic optimization

Pixel-Aligned-Face-Recognition

The code for pixel-level alignment in 2D face recognition

Distributed-Voting-Beep

The code for Distributed Voting with Beeps (DVB) algorithms

BUT-BUNCA-Triplet-Sampling

The code for Bayesian Updating Triplet (BUT) and Bayesian Updating Neighborhood Component Analysis (BUNCA) triplet sampling

Linear-Quadratic-Discriminant-Analysis

The code for Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA)

Fisherposes

The code for Fisherposes method for 3D action recognition

Density-Based-Classifiers

The code of GMM and MAF classifiers

Curvature-Anomaly-Detection

The code for Curvature Anomaly Detection (CAD), kernel CAD, inverse CAD (iCAD), and kernel iCAD for anomaly detection and prototype selection. It uses the theory of Polyhedron Curvature or angular defect of polyhedron.