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134 search results found
Mri Reconstruction With Sparse Optimization
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6
Magnetic resonance imaging (MRI) images are known to be sparse. This is an implementation using non-convex penalty function that encourages sparsity.
Spcovr
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6
Sparse Principal Covariates Regression
Bisparse
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6
Code for Bilingual Sparse Embeddings from the NAACL 2016 paper
Ssgetpy
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6
A searchable Python interface to the SuiteSparse Matrix Collection
Convolutional Dictionary
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6
Implementation and experiments for a (theory) paper on covergence rates of convolutional sparse dictionary learning.
Redaep
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6
REDAEP: Robust and Enhanced Denoising Autoencoding Prior for Sparse-View CT Reconstruction
Ara_tools
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6
Analysis of mouse brain STP data with respect to the Allen Reference Atlas
Juliafem
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6
A simple FEM code for 2d Poisson equation
Holistic_pursuit
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6
An implementation of the Holistic Pursuit for the Multi-Layer Sparse Coding model. Contains a comparison to the projection pursuit algorithm.
Jrl_tcsvt2014
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6
Source code of our TCSVT 2014 paper "Learning Cross-Media Joint Representation with Sparse and Semisupervised Regularization"
3dcsc For Dynamic Mri Reconstruction
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6
Larscpp
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6
least angle regression in C++ - solves L1 least squares linear regression with full regularization path
Minom
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6
MIx-NOrM-based (MiNoM) scan matching
Sparse Reconstruction Hashing
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6
The code of "Learning Hash Functions Using Sparse Reconstruction"
Salient Region Detection Tip17
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6
Matlab implementation of the paper "Salient Region Detection using Diffusion Process on a 2-Layer Sparse Graph"
L0 Motivated Lrssc
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6
Matlab implementation of L0 motivated low-rank sparse subspace clustering
Sparse_bayesian_infinite_factor_models
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6
Sparse Bayesian Infinite Factor Models
Sparse_bsos
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5
We provide the Matlab Implementation of Sparse-BSOS described in Weisser, Lasserre, Toh: Sparse-BSOS: a bounded degree SOS hierarchy for large scale polynomial optimization with sparsity, to be published in Mathematical Programming Computation.
Supervisedbof
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5
Learn bag-of-feature descriptors for content based retrieval (not only for 3D shape)
Ssc
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5
Sparse Subspace Clustering (for linear and affine spaces)
Sspp Face_recognition
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5
Demo on single sample per person face recognition
Mp2_dms_pso
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5
MATLAB implementation image sparse decomposition (matching pursuit with PSO optimization).
Gsglmtl
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5
Group Guided Sparse Group Lasso Multi-task Learning code. We refer to the paper for details about the model and the optimization algorithms: Xiaoli Liu, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar Zaiane. Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer’s Disease[C]. International Conference on Brain Informatics. Springer, Cham, 2017: 202-212. DOI=https://doi.org/10.1007/978-3-319-70772-3_19
S5c
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5
Selective Sampling-based Scalable Sparse Subspace Clustering (NeurIPS 19')
Copa
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5
Code accompanying our CIKM paper: "copa: constrained parafac2 for sparse & large datasets"
Csaes
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5
Convolutional Sparse Auto-Encoders
2dpcal1 S
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5
Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.
Ksupport
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5
Code for the machine learning methods described in: M. B. Blaschko, A Note on k-support Norm Regularized Risk Minimization. arXiv:1303.6390, 2013.
Sparseoptimizationpack
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5
Implementations of algorithms for sparse optimization in Matlab and C (for GPU and MPI)
Dopt_pce
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5
Codes related to our paper "Sparse Polynomial Chaos Expansions via D-optimal Designs and Compressed Sensing." https://www.sciencedirect.com/science/article/pii/
Comcsc
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5
codes for TNNLS paper "Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration"
Locally Sparse Tomography
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5
Locally sparse travel time tomography (LST) is a tomography algorithm which uses sparse modeling and dictionary learning to estimate 2D geophysical images based on wave travel times across sensor arrays. This repository is an implementation of the IEEE paper: M.J. Bianco and P. Gerstoft, "Travel time tomography with adaptive dictionaries," IEEE Trans. on Computational Imaging, Vol. 4, No. 4, 2018.
Sparse_deconvolution
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5
nonconvex algorithms for solving sparse deconvolution/convolutional dictionary learning problems
Negotiation Based Marl
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5
Source code for journal paper "Multiagent Reinforcement Learning With Sparse Interactions by Negotiation and Knowledge Transfer"
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