qinghaizheng1992 Goto Github PK

hqadmm_rota

Half Quadratic Alternating Direction Method of Multipliers for Robust Orthogonal Tensor Approximation

hsic

Python code of Hilbert-Schmidt Independence Criterion

iadmm

iADMM for a low-rank representation optimization problem

ib_demo

A very simple code+example implementing the Information bottleneck (IB) algorithm (matlab)

icassp_frwl

Fast Spectral Clustering based on RandomWalk Laplacian (FRWL) for Large Scale Clustering- ICASSP 2020

ieee_tc2021_wtsnm_mvsc

MATLAB implementation for our IEEE TC paper: Wei Xia; Xiangdong Zhang; Quanxue Gao; Xiaochuang Shu; Jungong Han; Xinbo Gao. Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm. DOI: 10.1109/TCYB.2021.3052352.

ijcai2018

Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification

imagecluster

Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.

incomplete-multi-view-clustering

A collection of incomplete multi-view clustering paper

infrared-small-target-detection-based-on-pstnn

This matlab code implements the infrared small target detection model based on partial sum of the tensor nuclear norm.

insightface

Face Analysis Project on MXNet

joint-cluster-cnn

A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).

jule.torch

Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"

k-factorization-subspace-clustering

kbs18

Low-rank Kernel Learning for Graph-based Clustering

kdd-2019-rse

The code of RSE

kdd2019_k-multiple-means

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

key-book

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。在线阅读地址：https://datawhalechina.github.io/key-book/

large_scale_multi-view_clustering_datasets

Some large-scale MVC benchmark datases

learn-to-cluster

Learning to Cluster Faces on an Affinity Graph (CVPR 2019)

learn-to-hash

Using supervised learning to produce better space partitions for fast nearest neighbor search.

learn_to_hash

learnresparams

Code for learning resolution parameters for graph clustering

leasc

Learnable Subspace Clustering

letter-2-reviewers-latex-template

A LaTeX template to write response letters for journal revisions

levi

libadmm

A Library of ADMM for Sparse and Low-rank Optimization

lindaedynamics_icml2018

Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)

line

LINE: Large-scale information network embedding

lmvsc