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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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CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression
In recent years, estimating beauty of faces has attracted growing interest in the fields of computer vision and machine learning. This …
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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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A quantitative biophysical principle to explain the 3D cellular connectivity in curved epithelia
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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
Spatiotemporal CNN with Pyramid Bottleneck Blocks: Application to eye blinking detection
Eye blink detection is a challenging problem that many researchers are working on because it has the potential to solve many facial …
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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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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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Statistical Atlases and Automatic Labeling Strategies to Accelerate the Analysis of Social Insect Brain Evolution
Current methods used to quantify brain size and compartmental scaling relationships in studies of social insect brain evolution involve …
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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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