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Inductive multi-view semi-supervised learning with a consensus graph
Graphs have a crucial impact on the performance of any graph-based semi-supervised learning method, so their construction should be …
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Joint graph and reduced flexible manifold embedding for scalable semi-supervised learning
Recently, graph-based semi-supervised learning (GSSL) has received much attention. On the other hand, less attention has been paid to …
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Leveraging Synthetic Data for DNN-Based Visual Analysis of Passenger Seats
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Multi-Task Explainable Quality Networks for Large-Scale Forensic Facial Recognition
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Object-centric Contour-aware Data Augmentation Using Superpixels of Varying Granularity
Regional dropout strategies have demonstrated to be very effective in improving both the performance and the generalization capability …
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Optimizing Video Analytics Deployment for In-Flight Cabin Readiness Verification
This paper proposes an approach to optimize the deployment of on-board video analytics for checking the correct positioning of luggage …
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Optimizing Video Analytics Deployment for In-Flight Cabin Readiness Verification
Single phase multi-view clustering using unified graph learning and spectral representation
The most widely used multi-view clustering approaches can be classified into different groups: Subspace multi-view clustering …
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The human remains found in 1967 in Axlor: Still not convincingly Neandertals: A reply to González-Urquijo et al
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White blood cell classification: Convolutional Neural Network (CNN) and Vision Transformer (ViT) under medical microscope
Deep learning (DL) has made significant advances in computer vision with the advent of vision transformers (ViTs). Unlike convolutional …
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Brain virtual histology with X-ray phase-contrast tomography Part II: 3D morphologies of amyloid-$β$ plaques in Alzheimer's disease models
While numerous transgenic mouse strains have been produced to model the formation of amyloid-$β$ (A$β$) plaques in the brain, efficient …
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