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207 search results found

Moesp And N4sid ⭐ 11

Subspace methods for MIMO system identification

Wind Generator ⭐ 11

Generating multi-channel wind noise based on the Corcos model

CLEAR algorithm for multi-view data association

fast randomized SVD and its application to SVT algorithm

Lens_nmf Matlab ⭐ 10

Matlab/Octave Fast Matrix Multiply with Multi-Dimensional Support

Nlos_fermat_path ⭐ 10

non-line-of-sight shape reconstruction using Fermat paths

Recursive Nystrom ⭐ 10

Recursive importance sampling for Nyström kernel matrix approximation

Gamma Belief Networks

Graph Multi Nmf Feature Clustering ⭐ 10

Feature Extraction via Multi-view Non-negative Matrix Factorization with Local Graph Regularization.

Matlab Cody ⭐ 10

My Cody Challenge Solutions

Mex Writematrix ⭐ 10

Replacement (fast!) for dlmwrite in MATLAB

Infinite mixtures of Infinite Gaussian Mixtures : Two layer non-parametric clustering algorithm for continuous data. FastMat is required in current version

Encodingmodel ⭐ 10

Generate a matrix of predictors corresponding to different behavioral variables and process a regression-based encoding model to obtain the relative contributions of the different behavioral variables to the activity of each neuron

Camera Calibration ⭐ 10

Camera Calibration using a 3D calibration object to find intrinsic and extrinsic parameters

Imagej Matlab ⭐ 10

MATLAB integration with ImageJ data structures and runtime.

Randqb_auto ⭐ 10

randomized QB factorization for fixed-precision low-rank matrix approximation

Multichannelnmf ⭐ 9

MATLAB script of Multichannel Nonnegative Matrix Factorization

Herc Handwritten Equation Recognition Classification ⭐ 9

While handwriting provides an efficient means to write mathematical symbols quickly, it is a poor medium for rapid exchange and editing of documents. Meanwhile, advanced typesetting systems like LaTeX and MathML have provided an environment where mathematical symbols can be typeset with precision, but at the cost of typing time and a steep learning curve. In order to facilitate the exchange, preservation and ease of editing of mathematical documents, we propose a method of offline handwritten e

Kmeancoreset ⭐ 9

KMean Coreset evaluation and computation.

Code repository for "Spatiotemporal Traffic Matrix Synthesis", Paul Tune and Matthew Roughan, ACM SIGCOMM 2015, London, UK, August 2015.

Stereo Camera Calibration Orthogonal Planes ⭐ 9

Mono and Stereo Camera Calibration with 3 Orthogonal checkerboards

Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation

Causalrecommendation ⭐ 9

Causal inference for recommendation

This is matlab code to run simulations for the CTLN model introduced in https://arxiv.org/abs/1605.04463 .

Diffusion ⭐ 9

Random walk-based experiments conducted in Matlab for the Diffusion experiment set of Biophysics Laboratory conducted at Washington University in St. Louis.

Multi-layer non-negative matrix factorization MATLAB implementation.

Circular Hough Transform Using Matlab ⭐ 9

Circular Hough transform is used for detecting circles in images. This is a basic implementation of CHT using Matlab

Lineage Mapper ⭐ 9

Lineage Mapper Fiji plugin and MATLAB source code

Grace Filter ⭐ 9

Contains software for filtering (destriping) GRACE Stokes coefficients

Julia Matlab Benchmark ⭐ 9

This repository is a place for accurate benchmarks between Julia and MATLAB and comparing the two.

Solvers for matrix equations

Normalized Spectrogram ⭐ 8

Normalized spectrogram of a seismic acceleration

Irtpcacode ⭐ 8

The matlab code is for the paper ''Improved Robust Tensor Principal Component Analysis via Low Rank Core Matrix''.

MCLPMDA: A novel method for miRNA-disease association prediction based on Matrix Completion and Label Propagation

Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization

Movies Recommender ⭐ 8

A system to recommend movies according to ratings provided by users using Collaborative Filtering Learning Algorithm.

A D4M module for Julia. D4M was developed in MATLAB by Dr Jeremy Kepner.

Matrix Exponential for node centrality, link-prediction, and more

A scala NMF library

Ensemble Kalman Filters (EnKFs) powered by the Fast Multipole Method (FMM) and Randomized Low-Rank Approximations (RandLRA)

Deepdtnet ⭐ 7

Lowrankmatrix_imagedenoising ⭐ 7

Code for Image Denoising as described in A. Parekh and I.W. Selesnick, Enhanced Low-Rank Matrix Approximation, IEEE Signal Processing Letters, 23(4):493-497, 2015.

Covarianceestimation Massivemimo ⭐ 7

This is the code that generates the figures in the paper titled "Covariance Matrix Estimation for Massive MIMO" authored by Karthik Upadhya and Sergiy A. Vorobyov and published in IEEE Signal Processing Letters, vol. 25, no. 4, pp. 546-550, April 2018.

Local_novelty_detection ⭐ 7

Local learning for novelty detection

Wsn Localization ⭐ 7

MATLAB script for node localization in Wireless Sensor Network

Anderson Accel Ncm ⭐ 7

Anderson acceleration for the alternating projections method for the nearest correlation matrix problem

hiHMM: Bayesian non-parametric joint inference of chromatin state maps

StiffMa: Fast finite element STIFFness MAtrix generation in MATLAB by using GPU computing.

High Order Interactions ⭐ 7

High-Order interactions

⚠️ Deprecated. A validating and round-tripping JSON Parser and Stringifier for GNU Octave and MATLAB®.

Binary Matrix (BMT) format for storing and exporting sparse and dense matrices

Sparsity Preserving Projection, a feature extraction algorithm in Pattern Recognition area

Bmatchingsolver ⭐ 6

Code from 2011 paper "Fast b-Matching via Sufficient Selection Belief Propagation" by Bert Huang and Tony Jebara

Online Kernel Learning ⭐ 6

This is all the codes used in "Large Scale Online Kernel Learning"

Truncated Cauchy Non Negative Matrix Factorization ⭐ 6

Non-negative matrix factorization (NMF) minimizes the euclidean distance between the data matrix and its low rank approximation, and it fails when applied to corrupted data because the loss function is sensitive to outliers. In this paper, we propose a Truncated CauchyNMF loss that handle outliers by truncating large errors, and develop a Truncated CauchyNMF to robustly learn the subspace on noisy datasets contaminated by outliers. We theoretically analyze the robustness of Truncated CauchyNMF c

Isotropicremeshing ⭐ 6

A MATLAB Isotropic Remesher based on OpenMesh and OpenFlipper

Paper Ho2015 ⭐ 6

Source code from Chiu and Hsu, (2015) Determination of Nonlinear Genetic Architecture using Compressed Sensing.

Matlab implementation of Joint Non-negative Matrix Factorization

Low Rank Phase Retrieval ⭐ 6

MATLAB implementation of "Phaseless Low Rank Matrix Recovery and Subspace Tracking", ICML 2019, longer version to appear in IEEE Transactions on Information Theory, 2020..

Modopt.matlab ⭐ 6

Modeling Optimization Problems with R - MatLab(R) compatibility functions

Cell-specific Network Constructed by Single-cell RNA Sequencing Data

files for a tiny 8x8 RGB LED display/matrix

Toolbox to simulate many-body quantum systems using Matrix Product States (MPS)

Brain_graphs ⭐ 6

graph theory analysis of fMRI data

A searchable Python interface to the SuiteSparse Matrix Collection

Multi_task_learning ⭐ 6

Multi-task feature learning

Mnist_octave ⭐ 6

Loading MNIST handwritten digits with Octave

Light_wavetransmission1d_dispersion ⭐ 6

Optical Tranfer Matrix Solver with index dispersion

GMRES algorithm implementation for the numerical solution of an indefinite non-symmetric system of linear equations.

Canny Edge Detector ⭐ 5

Canny edge detector with gui written in Matlab

Lsqt Matlab ⭐ 5

A 200-line MATLAB code for a linear-scaling quantum transport method

Gillespie ⭐ 5

Gillespie Stochastic Simulation Algorithm

MATLAB implementations of Principal Component Pursuit and Matrix Completion algorithms

Mf_re_sys ⭐ 5

matrix factorization for recommender system (collaborative filtering)

Reasspectro ⭐ 5

spectrogram reassignment

This is the implementation of "Low rank matrix factorization under general mixture noise distributions."

Code for the Selected Columns of the Density Matrix suite of algorithms

Matrix Compare ⭐ 5

A comparison of linear algebra in different languages and how to translate between them

Matrix Fisher Distribution ⭐ 5

Dp Clustering Icml17 ⭐ 5

Differentially Private Clustering in High-Dimensional Euclidean Spaces

Graph_matching ⭐ 5

Split Bregman Total Variation Jacobian Matrix ⭐ 5

Constrained total variation image reconstruction problem solved using the Split Bregman formulation where the Jacobian is provided as a matrix

Unsupervised spectral unmixing by minimum-volume-constrained non-negative matrix factorization (MVC-NMF)

Krylovschur ⭐ 5

Krylov Schur eigenvalue algorithm

Non-Linear Matrix Completion

Cuda Rpca Admm ⭐ 5

A CUDA implementation of performing Robust PCA for foreground-background separation, using ADMM for optimization.

Magcaltool ⭐ 5

Magnetometer calibration GUI. Uses Octave to run MATLAB script on magnetometer point cloud

Single Phase Feeders ⭐ 5

This repository provides single-phase models for IEEE 13-bus, IEEE 37-bus, and IEEE 123-bus distribution networks and calculates the load-flow via the Z-Bus method. It further demonstrates that the Z-Bus iterations are contracting.

Parallel HLIBPro C++ code for approximating large covariance matrices and joint multivariate likelihood functions

Matlab demo code for "MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval"

Matrices Correlation Invalid ⭐ 5

Collection of invalid correlation matrices

I implemented the fllowing article by Matlab.Refrence:Oh T H, Matsushita Y, Tai Y W, et al. Fast Randomized Singular Value Thresholding for Low-rank Optimization[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015, PP(99):1-1.Abstract:Rank minimization can be converted into tractable surrogate problems, such as Nuclear Norm Minimization (NNM) and Weighted NNM (WNNM). The problems related to NNM, or WNNM, can be solved iteratively by applying a closed-form proximal operator, ca

Transfer_matrix ⭐ 5

JML is a machine learning library written in Java, it is a pure Java package, and thus is cross-platform. The goal of JML is to make machine learning methods very easy to use and speed up code conversion from MATLAB to Java.

MATLAB for Blockmodel Entropy Significance Test

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