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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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A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments
Behavior modeling has multiple applications in the intelligent environment domain. It has been used in different tasks, such as the …
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A deep learning loss based on additive cosine margin: Application to fashion style and face recognition
Recently, loss functions based on angular spans improved the performance of deep visual recognition. These losses converted Euclidean …
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A quantitative biophysical principle to explain the 3D cellular connectivity in curved epithelia
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Consensus graph and spectral representation for one-step multi-view kernel based clustering
Recently, multi-view clustering has received much attention in the fields of machine learning and pattern recognition. Spectral …
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