xiangfasong's repositories
Feature-selection1
Feature selection methods using optimization algroithms
AWESOME-FER
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU) 😠😣😨😀🙁😯😑
awesome-multi-view-clustering
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
DeepClustering
Methods and Implements of Deep Clustering
DeepHyperX
Deep learning toolbox based on PyTorch for hyperspectral data classification.
fuzzy-rough-set-theory-Feature-selection
Some unsupervised attribute reduction (or feature selection) based on fuzzy rough set theory, including algorithms EUIAR, FMIUFS, FRUAR, and HKCMI.
glmnet-matlab
Lasso and elastic-net regularized generalized linear models
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
LLSRFS
Unsupervised Feature Selection by Learning Exponential Weights
LpCNMF_github
This is an implementation for our paper "Constrained Nonnegative Matrix Factorization based on Label Propagation for Data Representation".
MGSR
Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection
ML-LSS
The implementation of "Multi-Label Learning with Local Similarity of Samples".
Multi-view_Datasets
Multi-view_Datasets Summarization
NAIM3L
Codes of A Concise yet Effective model for Non-Aligned Incomplete Multi-view and Missing Multi-label Learning
NNSE
Neural Networks Embedded Self-Expression with Adaptive Graph for Unsupervised Feature Selection
NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
RDGSR
Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band Selection
ReNode-1
Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".
SCAGC
The Pytorch implementation demo for our TMM article: Self-consistent Contrastive Attributed Graph Clustering with Pseudo-label Prompt.