ZivenWangz

mvdata

Data sets for multi-view learning.

MVAD_Bayesian

Python implementation of the proposed multi-view anomaly detector

awesome-machine-learning-resources

😎 A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

PLVM

Probabilistic Latent Variable Modeling Toolbox for Multisubject Data

MVAD_Bayesian

Python implementation of the proposed multi-view anomaly detector

Adaptive-Collaborative-Similarity-Learning-for-Unsupervised-Multi-view-Feature-Selection

Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection IJCAI2018

MultipleView

多视角

MSDA-MVSR

MSDA-MVSR code for “Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation”

dPoE

Online Multi-view Anomaly Detection with Disentangled Product-of-Experts Modeling

Partial-Multi-View-Outlier-Detection-Based-on-Collective-Learning-

Partial Multi-View Outlier Detection Based on Collective Learning

AAAI2019_APMC

Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-view Clustering

AAAI2018_CL

Partial Multi-view Outlier Detection Based on Collective Learning

mvod

code for "Latent Discriminant Subspace Representations for Multi-View Outlier Detection, AAAI 2018"

LibADMM-toolbox

A Library of ADMM for Sparse and Low-rank Optimization

projecteGABD2018

ICDM-2019-MODDIS

This is a demo of the paper "Multi-view Outlier Detection in Deep Intact Space" in ICDM 2019.

IAMOD

Information-Aware Multi-View Outlier Detection

SRLSP

A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection

multiview_learning

NCMOD

The code for our aaai2021 paper "Neighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection".

ODDD

FTUNet

FTUNet：A Semantic Segmentation Model for Medical Image Lesion Region Based on U-shaped Network and Transformer

MU-Net

MU-Net: A Multi-convolution Kernels Network Model for Cell Image Semantic Segmentation

DCACP

ODPHAC

An outlier detection strategy for spatial free path-finding based on hierarchical ant colonies

OAU-net

OAU-net: Outlined Attention U-net for Biomedical Image Segmentation

ECKM

Python Code developed by us for our newly ECKM, For Details, go through: https://www.sciencedirect.com/science/article/abs/pii/S0957417422018802

DPC-CE

code of DPC-CE （Density Peak Clustering with Connectivity Estimation，Knowledge-Based Systems, 2022）

NHOD

A High-dimensional Outlier Detection Approach Based on Local Coulomb Force.

WHU-data-science-introduction

武汉大学数据科学导论