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One-Pass Incomplete Multi-view Clustering
- M Hu, S Chen
- (arXiv: 1903)
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Multi-modal Ensemble Classification for Generalized Zero Shot Learning
- Rafael Felix, Michele Sasdelli, Ian Reid, Gustavo Carneiro
- (arXiv: 1901)
-
Semi-supervised Deep Representation Learning for Multi-View Problems
- Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu
- IEEE Big Data, arXiv:1811
- CCA
-
Product Title Refinement via Multi-Modal Generative Adversarial Learning
- Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu
- NIPS workshop, arXiv:1811
- GAN
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Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning
- Hong Tao, Chenping Hou, Dongyun Yi, Jubo Zhu
- arXiv: 1812
- Overlapping Community Detection in Multi-view Brain Network
- Ling Huang ; Chang-Dong Wang ; Hong-Yang Chao
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Feature Selection with Multi-view Data: A Survey
- R Zhang, F Nie, X Li, X Wei - Information Fusion, 2018
- (doi)
-
A Survey on Multi-view Learning
- Chang Xu, Dacheng Tao, Chao Xu, arXiv:1304
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A Survey of Multi-View Representation Learning
- Yingming Li ; Ming Yang ; Zhongfei Mark Zhang, TKDE, 1809
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Learning Representation for Multi-View Data Analysis: Models and Applications
- Zhengming Ding, Handong Zhao, Yun Fu Link
- Efficient registration of multi-view point sets by k-means clustering
- J Zhu, Z Jiang, GD Evangelidis, C Zhang, S Pang, Z Li
- Information Sciences, 2019
- A new analysis of co-trainging
- ICML 2010
- A co-regularization approach to semi-supervised learning with multiple views
- A dependence maximization view of clustering
- Multimodal Deep Learning
- Ngiam, Jiquan and Khosla, Aditya and Kim, Mingyu and Nam, Juhan and Lee, Honglak and Ng, Andrew Y
- (pdf)
- On deep multi-view representation learning
- Weiran Wang, Raman Arora, Karen Livescu, Jeff Bilmes
- (arXiv: 1602 | pdf | Supplementary Material)
-
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
- Edward Smith, Scott Fujimoto, David Meger
-
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels
- Shahin Shahrampour, Vahid Tarokh
-
Multimodal Generative Models for Scalable Weakly-Supervised Learning
- Mike Wu, Noah Goodman
-
Mental Sampling in Multimodal Representations
- Jianqiao Zhu, Adam Sanborn, Nick Chater
-
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces
- Yu-An Chung, Wei-Hung Weng, Schrasing Tong, James Glass
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Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo
- HOLDEN LEE, Andrej Risteski, Rong Ge
-
Multi-view Matrix Factorization for Linear Dynamical System Estimation
- Mahdi Karami, Martha White, Dale Schuurmans, Csaba Szepesvari
-
Learning a Multi-View Stereo Machine
- Abhishek Kar, Christian Häne, Jitendra Malik
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Multi-View Decision Processes: The Helper-AI Problem
- Christos Dimitrakakis, David C. Parkes, Goran Radanovic, Paul Tylkin
- Predictive Subspace Learning for Multi-view Data: a Large Margin Approach
- Ning Chen, Jun Zhu, Eric P. Xing
- (PDF | Details | Supplemental | TPAMI)
-
Deep Multi-View Concept Learning, [pdf]
- Cai Xu, Ziyu Guan, Wei Zhao, Yunfei Niu, Quan Wang, Zhiheng Wang
-
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders, [pdf]
- Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang
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Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning, [pdf]
- Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua
-
Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption, [pdf]
- Zhengming Ding, Ming Shao, Yun Fu
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Hierarchical Graph Structure Learning for Multi-View 3D Model Retrieval, [pdf]
- Yuting Su, Wenhui Li, Anan Liu, Weizhi Nie
-
CR-GAN: Learning Complete Representations for Multi-view Generation, [pdf]
- Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas
-
Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection, [pdf]
- Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng
-
Doubly Aligned Incomplete Multi-view Clustering, [pdf]
- Menglei Hu, Songcan Chen
-
Robust Auto-Weighted Multi-View Clustering, [pdf]
- Pengzhen Ren, Yun Xiao, Pengfei Xu, Jun Guo, Xiaojiang Chen, Xin Wang, Dingyi Fang
-
Incomplete Multi-View Weak-Label Learning, [pdf]
- Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
-
FISH-MML: Fisher-HSIC Multi-View Metric Learning, [pdf]
- Changqing Zhang, Yeqinq Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu
-
Robust Multi-view Learning via Half-quadratic Minimization, [pdf]
- Yonghua Zhu, Xiaofeng Zhu, Wei Zheng
-
Semi-Supervised Multi-Modal Learning with Incomplete Modalities, [pdf]- Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng, Yuan Jiang
-
Self-weighted Multiple Kernel Learning for Graph-based Clustering and
Semi-supervised Classification, [pdf]- Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu
-
Self-weighted Multiview Clustering with Multiple Graphs
-
Vertex-Weighted Hypergraph Learning for Multi-View Object Classification
-
From Ensemble Clustering to Multi-View Clustering
-
Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization
-
Dynamic Multi-View Hashing for Online Image Retrieval
-
Multi-view Feature Learning with Discriminative Regularization
-
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel
-
Vertex-Weighted Hypergraph Learning for Multi-View Object Classification
-
Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion
-
Multiple Kernel Clustering Framework with Improved Kernels
-
Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network
-
Multiple Indefinite Kernel Learning for Feature Selection
-
Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering
- Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Meng Fang, Shirui Pan, arXiv:1608
-
Multiple Kernel Clustering with Local Kernel Alignment Maximization, [pdf]
- Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou, Jianping Yin, En Zhu
-
Multi-View Learning with Limited and Noisy Tagging, [pdf]
- Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang
- MEAL: Multi-Model Ensemble via Adversarial Learning
- Zhiqiang Shen, Zhankui He, Xiangyang Xue
- (arXiv:1812 | pytorch)
- Multi-Task Medical Concept Normalization Using Multi-View Convolutional Neural Network
- Yi Luo, Guojie Song, Pengyu Li, Zhongang Qi
- (pdf)
- Learning from multiple sources
- Large-Margin Predictive Latent Subspace Learning for Multiview Data Analysis
- Ning Chen; Jun Zhu; Fuchun Sun; Eric Poe Xing
-
A Multi-view & Multi-exemplar Fuzzy Clustering Approach: Theoretical Analysis and Experimental Studies
- Zhang Yuanpeng ; Fu-lai Chung ; ShiTong Wang
- (DOI)
-
Deep Collective Matrix Factorization for Augmented Multi-View Learning
- R Mariappan, V Rajan
- (arXiv: 1811)
- When Locally Linear Embedding Hits Boundary
- Hau-tieng Wu, Nan Wu， arXiv:1811
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