Results 31 to 40 of about 24,544,958 (149)

A survey on canonical correlation analysis based multi-view learning

智能科学与技术学报, 2022
Multi-view learning (MVL) is a strategy for fusing data from different sources or subsets.Canonical correlation analysis (CCA) is very important in MVL, whose main idea is to maximize the correlation of different views.The traditional CCA can only ...
Chenfeng GUO, Dongrui WU
doaj  

Multi-View Relationships for Analytics and Inference

, 2020
An interesting area of machine learning is methods for multi-view data, relational data whose features have been partitioned. Multi-view learning exploits relationships between views, giving it certain advantages over traditional single-view techniques ...
Eric Lei (4937920)
core   +1 more source

Learning multi-view visual correspondences with self-supervision

, 2022
Stereo-based 3D reconstruction requires to match features across images captured from slightly different viewing angles to recover 3D coordinates of the image pixels.
Zhang, Liang, Zhou, Jun, Zhou, Lei, Zheng, Jin, Bai, Xiao, Wang, Chen, Zhang, Pengcheng   +6 more
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Experiments with multi-view multi-instance learning for supervised image classification [PDF]

, 2011
In this paper we empirically investigate the benefits of multi-view multi-instance (MVMI) learning for supervised image classification. In multi-instance learning, examples for learning contain bags of feature vectors and thus data from different views ...
Mayo, Michael, Frank, Eibe
core  

Multi-Modal 3D Shape Clustering with Dual Contrastive Learning

Applied Sciences, 2022
3D shape clustering is developing into an important research subject with the wide applications of 3D shapes in computer vision and multimedia fields. Since 3D shapes generally take on various modalities, how to comprehensively exploit the multi-modal ...
Guoting Lin, Zexun Zheng, Lin Chen, Tianyi Qin, Jiahui Song   +4 more
doaj   +1 more source

Multi-view positive and unlabeled learning [PDF]

, 2012
Learning with Positive and Unlabeled instances (PU learning) arises widely in information retrieval applications. To address the unavailability issue of negative instances, most existing PU learning approaches require to either identify a reliable set of
Tsang, IW, Mao, Qi, Zhou, JT, Pan, SJ, Pan, Sinno Jialin, Tsang, Ivor W., Zhou, Joey Tianyi, Mao, Q   +7 more
core  

Multi-View Information-Bottleneck Representation Learning

, 2021
In real-world applications, clustering or classification can usually be improved by fusing information from different views. Therefore, unsupervised representation learning on multi-view data becomes a compelling topic in machine learning. In this paper,
Zhu, Pengfei, Wan, Zhibin, Zhang, Changqing, Hu, Qinghua   +3 more
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A Novel Adaptive Multi-View Non-Negative Graph Semi-Supervised ELM

IEEE Access, 2020
This paper represents a semi-supervised learning framework, which integrates multi-view learning, extreme learning machine (ELM) and graph-based semi-supervised learning.
Feng Zheng, Zeyu Liu, Yijian Chen, Jiacheng An, Yanyan Zhang   +4 more
doaj   +1 more source

Fusing Local and Global Information for One-Step Multi-View Subspace Clustering

Applied Sciences, 2022
Multi-view subspace clustering has drawn significant attention in the pattern recognition and machine learning research community. However, most of the existing multi-view subspace clustering methods are still limited in two aspects.
Yiqiang Duan, Haoliang Yuan, Chun Sing Lai, Loi Lei Lai   +3 more
doaj   +1 more source

2.5D Multi-View Gait Recognition Based on Point Cloud Registration [PDF]

, 2014
This paper presents a method for modeling a 2.5-dimensional (2.5D) human body and extracting the gait features for identifying the human subject.
Tjahjadi, Tardi, Jin Tang, Yan Gao, Tang, Jin, Gao, Yan, Jian Luo, Tardi Tjahjadi, Luo, Jian   +7 more
core   +1 more source