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DNMPC-Platooning
The code for the project Distributed Nonlinear Model Predictive Control (DNMPC) for vehicle platooningHaze-Removal-Dark-Channel-Prior
The code for haze removal using dark channel prior, which was a part of the self-driving car projectPrincipal-Component-Analysis
The code for Principal Component Analysis (PCA), dual PCA, Kernel PCA, Supervised PCA (SPCA), dual SPCA, and Kernel SPCAGenerative-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 investmentFisher-Triplet-Contrastive-Loss
The code for Fisher Discriminant Triplet (FDT) and Fisher Discriminant Contrastive (FDC) loss functionsGeneralized-Eigenvalue-Problem
The code for generalized eigenvalue problemiMondrian
The code for Isolation Mondrian (iMondrian) forest for batch and online anomaly detectionFisher-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 networksFeature-Extraction-Survey
The code for the survey paper of feature extractionSNE-tSNE
The codes for Stochastic Neighbor Embedding (SNE), t-SNE, and their variants.Reinforcement-Learning
The codes for example algorithms in reinforcement learningMetaheuristic-Optimization
The codes for metaheuristic optimization algorithmsLBFGS-Vector-Transport-Free
The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifoldsQuantile-Quantile-Embedding
The code for Quantile-Quantile Embedding (QQE).Roweis-Discriminant-Analysis
The code for Roweis Discriminant Analysis (RDA) and Kernel RDA methodsGravitational-Dimensionality-Reduction
The code for the Gravitational Dimensionality Reduction (GDR) algorithmMDS-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 ISCAPMSO-Metaheuristic-Optimization
The code for Pontogammarus Maeoticus Swarm Optimization (PMSO) which is a metaheuristic optimization algorithmKey-Poses-Action-Recognition
The code for key-poses and key-joints for 3D action recognitionAffective-Manifold
This is the code for affective manifolds.Locally-Linear-Image-Structural-Embedding
The code for Locally Linear Image Structural Embedding (LLISE) and Kernel LLISESiamese-Network-Histopathology
The code for the paper "Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study"Principal-Sample-Analysis
The code for Principal Sample Analysis (PSA) for prototype selection and instance rankingFace-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 learningHistopathology-Magnification-Generalization
The code for magnification generalization for the histopathology image embeddingTBO-Metaheuristic-Optimization
The code for Tree-Based Optimization (TBO) which is a meta-algorithm for metaheuristic optimizationPixel-Aligned-Face-Recognition
The code for pixel-level alignment in 2D face recognitionDistributed-Voting-Beep
The code for Distributed Voting with Beeps (DVB) algorithmsBUT-BUNCA-Triplet-Sampling
The code for Bayesian Updating Triplet (BUT) and Bayesian Updating Neighborhood Component Analysis (BUNCA) triplet samplingLinear-Quadratic-Discriminant-Analysis
The code for Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA)Fisherposes
The code for Fisherposes method for 3D action recognitionDensity-Based-Classifiers
The code of GMM and MAF classifiersCurvature-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.Love Open Source and this site? Check out how you can help us