A regularized approach for supervised multi-view multi-manifold learning from unlabeled data
Sign Up to like & getrecommendations! Published in 2019 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01411-w
Abstract: In this paper, we combined two steps in a new multi-view multi-manifold learning algorithm that are essential for recognition tasks in the absence of class label information; first, we emphasize the first step of graph-based… read more here.
Keywords: multi view; manifold learning; view multi; multi manifold ... See more keywords
Multi-view Multi-label Learning with Shared Features Inconsistency
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DOI: 10.1007/s11063-024-11528-w
Abstract: Multi-view multi-label (MVML) learning is a framework for solving the problem of associating a single instance with a set of class labels in the presence of multiple types of data features. The extraction of shared… read more here.
Keywords: multi label; view multi; shared features; multi view ... See more keywords
A Novel Dataset for Multi-View Multi-Player Tracking in Soccer Scenarios
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DOI: 10.3390/app13095361
Abstract: Localization and tracking in multi-player sports present significant challenges, particularly in wide and crowded scenes where severe occlusions can occur. Traditional solutions relying on a single camera are limited in their ability to accurately identify… read more here.
Keywords: multi; view multi; multi view; multi player ... See more keywords
PhotoMatch: An Open-Source Tool for Multi-View and Multi-Modal Feature-Based Image Matching
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DOI: 10.3390/app13095467
Abstract: The accurate and reliable extraction and matching of distinctive features (keypoints) in multi-view and multi-modal datasets is still an open research topic in the photogrammetric and computer vision communities. However, one of the main milestones… read more here.
Keywords: view multi; multi modal; multi view;