Python package for multi-view machine learning
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Updated
Oct 29, 2023 - Python
Python package for multi-view machine learning
Code release for "Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction"
Multi-view Knowledge Graph Embedding for Entity Alignment, IJCAI 2019
An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.
AAAI 2022 (Oral): Stationary diffusion state neural estimation
TCyb 2018: Graph learning for multiview clustering
A python implementation of the Multi-View Stacking algorithm
[ICCV, 2023] Multiple humans in 3D captured by dynamic and static cameras in 4K.
MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"
Public repository of our IGARSS 2023 submission
Generalized Deep Multiset Canonical Correlation Analysis for Multiview Learning of Speech Representations
TKDE 2019: Graph Structure Fusion for Multiview Clustering
Consistency-aware and inconsistency-aware graph-based multi-view clustering
Concept bottleneck models for multiview data with incomplete concept sets
List of multi-view fusion learning models proposed for remote sensing (RS) multi-view data. Extension from our JSTAR paper.
DVIB is an information bottleneck method that tries to disentangle multiview data into shared and private representations.
Experimental package to give easy access to key toy and simulated datasets from the (deep) multiview learning literature
Public repository of our IGARSS 2023 submission
Here I save the code files of my researching project
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