In this paper, we extend the idea of local learning to multi-view problem, design a multi-view local model for each example, and propose a Multi-View Local ...
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What is multi-view learning?
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Multi-View Learning is a deep learning method that aims to enhance model generalization by incorporating data from multiple perspectives or feature sets.
In this paper, we extend the idea of local learning to multi-view problem, design a multi-view local model for each example, and propose a Multi-View Local ...
Feb 28, 2024 · Multi-view learning aims to combine multiple features to achieve more comprehensive descriptions of data. Most previous works assume that ...
Aug 28, 2022 · This paper focuses on learning a feature extractor that can extract the shared information from multi-view data unsupervised.
Sep 21, 2022 · We propose a new multi-view global-local analysis method that mimics the radiologist's reading procedure, based on a global consistency learning and local co- ...
Multi-View Learning is a machine learning framework where data are represented by multiple distinct feature groups, and each feature group is referred to as ...
This paper reviews theories developed to understand the prop- erties and behaviors of multi-view learning, and gives a taxonomy of approaches accord- ing to the ...
Jun 18, 2024 · Abstract: Since the rapid progress in multimedia and sensor technologies, multiview clustering (MVC) has become a prominent research area ...
In this work, we propose an end-to-end framework to learn local multi-view descriptors for 3D point clouds. To adopt a similar multi-view representation, ...