Results 31 to 40 of about 5,224,308 (308)
Hierarchical Nuclear Norm Penalization for Multi-View Data Integration
Biometrics, 2023 Abstract The prevalence of data collected on the same set of samples from multiple sources (i.e., multi-view data) has prompted significant development of data integration methods based on low-rank matrix factorizations. These methods decompose signal matrices from each view into the sum of shared and individual structures, which are ...
Sangyoon Yi +2 more
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Multi-View Classification via a Fast and Effective Multi-View Nearest-Subspace Classifier
IEEE Access, 2019 Multi-view data represented in multiple views contains more complementary information than a single view, whereby multi-view learning explores and utilizes the multi-view data.
Ting Shu, Bob Zhang, Yuan Yan Tang
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Multi-View Stereo Vision Patchmatch Algorithm Based on Data Augmentation
Sensors, 2023 In this paper, a multi-view stereo vision patchmatch algorithm based on data augmentation is proposed. Compared to other works, this algorithm can reduce runtime and save computational memory through efficient cascading of modules; therefore, it can ...
Feiyang Pan +3 more
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Multi-View Missing Data Completion
IEEE Transactions on Knowledge and Data Engineering, 2018 A growing number of multi-view data arises naturally in many scenarios, including medical diagnosis, webpage classification, and multimedia analysis. A challenge in learning from multi-view data is that not all instances are fully represented in all views, resulting in missing view data.
Lei Zhang +4 more
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GIScience & Remote Sensing, 2019 Unmanned Aerial Systems (UASs) have the potential to provide multi-view data, but the approaches used to extract the multi-view data from UAS and investigation of their use in image classification are currently unavailable in publications to our best ...
Tao Liu +5 more
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Remote Sensing, 2018 Fully Convolutional Networks (FCN) has shown better performance than other classifiers like Random Forest (RF), Support Vector Machine (SVM) and patch-based Deep Convolutional Neural Network (DCNN), for object-based classification using orthoimage only ...
Tao Liu, Amr Abd-Elrahman
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PAC-Bayes Analysis of Multi-view Learning [PDF]
, 2016 This paper presents eight PAC-Bayes bounds to analyze the generalization performance of multi-view classifiers. These bounds adopt data dependent Gaussian priors which emphasize classifiers with high view agreements. The center of the prior for the first
Mao, Liang +2 more
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A Novel Approach to Learning Consensus and Complementary Information for Multi-View Data Clustering
IEEE International Conference on Data Engineering, 2020 Effective methods are required to be developed that can deal with the multi-faceted nature of the multi-view data. We design a factorization-based loss function-based method to simultaneously learn two components encoding the consensus and complementary ...
Khanh Luong, R. Nayak
semanticscholar +1 more source
View Synthesis from multi-view RGB data using multilayered representation and volumetric estimation
Virtual Reality & Intelligent Hardware, 2020 Background: Aiming at free-view exploration of complicated scenes, this paper presents a method for interpolating views among multi RGB cameras. Methods: In this study, we combine the idea of cost volume, which represent 3D information, and 2D semantic ...
Zhaoqi Su +4 more
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Unsupervised Multi-View K-Means Clustering Algorithm
IEEE Access, 2023 Since advanced technologies via social media, internet, virtual communities and networks and internet of things (IoT), there are more multi-view data to be collected.
Miin-Shen Yang, Ishtiaq Hussain
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