Benyamin Ghojogh's repositories
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
Generative-LLE
The code for Generative Locally Linear Embedding (GLLE).
Principal-Component-Analysis
The code for Principal Component Analysis (PCA), dual PCA, Kernel PCA, Supervised PCA (SPCA), dual SPCA, and Kernel SPCA
Fisher-Triplet-Contrastive-Loss
The code for Fisher Discriminant Triplet (FDT) and Fisher Discriminant Contrastive (FDC) loss functions
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
Fitting-Mixture-Distribution
The code for fitting a mixture distribution to data and Gaussian Mixture Model (GMM)
Metaheuristic-Optimization
The codes for metaheuristic optimization algorithms
Gravitational-Dimensionality-Reduction
The code for the Gravitational Dimensionality Reduction (GDR) algorithm
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).
Reinforcement-Learning
The codes for example algorithms in reinforcement learning
Roweis-Discriminant-Analysis
The code for Roweis Discriminant Analysis (RDA) and Kernel RDA methods
Affective-Manifold
This is the code for affective manifolds.
Face-Gender-Recognition-Fusion
The code for the paper "A Fusion-based Gender Recognition Method Using Facial Images"
Principal-Sample-Analysis
The code for Principal Sample Analysis (PSA) for prototype selection and instance ranking
Prototype-Selection-Matrix-Decomposition
The code for prototype selection and instance ranking using matrix decomposition and subspace learning
Siamese-Network-Histopathology
The code for the paper "Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study"
BUT-BUNCA-Triplet-Sampling
The code for Bayesian Updating Triplet (BUT) and Bayesian Updating Neighborhood Component Analysis (BUNCA) triplet sampling
Density-Based-Classifiers
The code of GMM and MAF classifiers
Histopathology-Magnification-Generalization
The code for magnification generalization for the histopathology image embedding
Linear-Quadratic-Discriminant-Analysis
The code for Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA)
Pixel-Aligned-Face-Recognition
The code for pixel-level alignment in 2D face recognition
bghojogh.github.io
Benyamin's personal website
Large-Margin-Metric-Learning
The code for large margin metric learning for nearest neighbor classification and its acceleration using triplet mining and stratified sampling
Terminal-Game
The terminal game: https://terminal.c1games.com/home