yinhefeng Goto Github PK

aaai2016

Discriminative Analysis Dictionary Learning

ancr

Affine Non-negative Collaborative Representation

awesome-backbones

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

awesome-graph-representation-learning

A curated list for awesome graph representation learning resources.

awesome-multi-view-clustering

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

bdr

Subspace Clustering by Block Diagonal Representation

ccf-deadlines

⏰ CCF recommendation conference Deadline Countdowns / Please star this project, thanks~

classifiertoolbox

A MATLAB toolbox for classifier: Version 1.0.7

codes-of-fgsr-for-effecient-low-rank-matrix-recovery

crnrc

Class-specific residual constraint nonnegative representation based classifier

cvpr-2021-papers

cvpr2020-code

CVPR 2020 论文开源项目合集

dcm

Matlab codes of DCM

ddlcn

[WACV 2019 Oral] Deep Micro-Dictionary Learning and Coding Network

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deepam

Official code of "Learning Deep Analysis Dictionaries for Image Super-Resolution"

demo-of-sadl

ICASSP 2018

dictol

DICTOL - A Dictionary Learning Toolbox in Matlab and Python

discriminative_nacm_learning

Demo of DNAOL

dlrrpd

This repository is used for sharing the source code of Double low-rank representation with projection distance penalty for clustering

dnrc

Discriminative non-negative representation based classifier

eeomvc

Efficient and Effective One-step Multi-view Clustering, IEEE TNNLS 2023.

egsnr

erddpl

The code of ERDDPL and the CLD 22 dataset

exploiting-global-low-rank-structure-and-local-sparsity-nature-for-tensor-completion

Exploiting Global Low-Rank Structure and Local Sparsity Nature for Tensor Completion (TCYB, 2019)

export_fig

A MATLAB toolbox for exporting publication quality figures

firc

MATLAB code of the paper "Robust and Low-Rank Representation for Fast Face Identification with Occlusions", TIP 2017

grae

Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning

howtocook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese).

hyftech

Behnood Rasti, Danfeng Hong, Renlong Hang, Pedram Ghamisi, Xudong Kang, Jocelyn Chanussot, Jon Atli Benediktsson. Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox), IEEE GRSM, 2020,