Article-Journal

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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Deep learning based domain adaptation for mitochondria segmentation on EM volumes
Background and Objective: Accurate segmentation of electron microscopy (EM) volumes of the brain is essential to characterize neuronal …
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Deep learning based domain adaptation for mitochondria segmentation on EM volumes
Deep Learning with Discriminative Margin Loss for Cross-Domain Consumer-to-Shop Clothes Retrieval
Consumer-to-shop clothes retrieval refers to the problem of matching photos taken by customers with their counterparts in the shop. Due …
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Driver drowsiness detection in video sequences using hybrid selection of deep features
Monitoring driver’s drowsiness is a complex problem that involves many indicators whether behavioral or physiological. Drowsiness …
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Egocentric Vision-based Action Recognition: A survey
The egocentric action recognition EAR field has recently increased its popularity due to the affordable and lightweight wearable …
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Multi-view spectral clustering via constrained nonnegative embedding
Multi-view clustering has attracted much attention recently. Among all clustering approaches, spectral ones have gained much popularity …
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One-step multi-view spectral clustering with cluster label correlation graph
Recently, one-step clustering methods have shown good performance. However, very few one-step approaches have addressed the multi-view …
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