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Name: Benyamin Ghojogh

Type: User

Bio: Fields: machine learning, deep learning, dimensionality reduction, computer vision, data visualization, etc.

Hi, I'm Benyamin 👋

An engineer and researcher in the field of machine learning!

My Tutorials:

👨‍💻 My tutorials are available at: arXiv tutorials
👨‍💻 My textbook "Elements of Dimensionality Reduction and Manifold Learning" is available at: Amazon & Google books

My Profiles:

My Main Programming Language:

Other Languages I Have Worked With:

Machine Learning & Computer Vision Tools:

Deep Learning Tools:

Coding Tools:

Writing Tools:

Benyamin Ghojogh's Projects

affective-manifold

This is the code for affective manifolds.

backprojection

The code for Backprojection for training feedforward neural networks

but-bunca-triplet-sampling

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

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.

density-based-classifiers

The code of GMM and MAF classifiers

distributed-voting-beep

The code for Distributed Voting with Beeps (DVB) algorithms

dnmpc-platooning

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

face-gender-recognition-fusion

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

feature-extraction-survey

The code for the survey paper of feature extraction

fisher-discriminant-analysis

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

fisher-triplet-contrastive-loss

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

fisherposes

The code for Fisherposes method for 3D action recognition

fitting-mixture-distribution

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

fuzzy-investment-counselor

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

generalized-eigenvalue-problem

The code for generalized eigenvalue problem

generative-lle

The code for Generative Locally Linear Embedding (GLLE).

gravitational-dimensionality-reduction

The code for the Gravitational Dimensionality Reduction (GDR) algorithm

haze-removal-dark-channel-prior

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

histopathology-magnification-generalization

The code for magnification generalization for the histopathology image embedding

image-structural-component-analysis

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

imondrian

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

key-poses-action-recognition

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

large-margin-metric-learning

The code for large margin metric learning for nearest neighbor classification and its acceleration using triplet mining and stratified sampling

lbfgs-vector-transport-free

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

linear-quadratic-discriminant-analysis

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

locally-linear-image-structural-embedding

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

mds-sammonmapping-isomap

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

metaheuristic-optimization

The codes for metaheuristic optimization algorithms