Results 41 to 50 of about 2,954,755 (181)
Saliency-guided video classification via adaptively weighted learning
Video classification is productive in many practical applications, and the recent deep learning has greatly improved its accuracy. However, existing works often model video frames indiscriminately, but from the view of motion, video frames can be ...
Peng, Yuxin, Zhao, Yunzhen
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Europe is characterised by a rich net of itineraries that during the Middle Ages were taken by pilgrims head toward the holy places of Christianity. In Italy the main pilgrimage route is the Via Francigena (the road that comes from France), which starts ...
Irene Diti +2 more
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Entanglement classification via neural network quantum states
The task of classifying the entanglement properties of a multipartite quantum state poses a remarkable challenge due to the exponentially increasing number of ways in which quantum systems can share quantum correlations.
Cillian Harney +3 more
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Fine-graind Image Classification via Combining Vision and Language
Fine-grained image classification is a challenging task due to the large intra-class variance and small inter-class variance, aiming at recognizing hundreds of sub-categories belonging to the same basic-level category.
He, Xiangteng, Peng, Yuxin
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Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation
In this paper, we empirically evaluate the utility of transfer and multi-task learning on a challenging semantic classification task: semantic interpretation of noun--noun compounds.
Fares, Murhaf +2 more
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On OCT Image Classification via Deep Learning
Computer-aided diagnosis of retinopathy is a research hotspot in the field of medical image classification. Diabetic macular edema (DME) and age-related macular degeneration (AMD) are two common ocular diseases that can result in partial or complete loss
Depeng Wang, Liejun Wang
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Implicit Discourse Relation Classification via Multi-Task Neural Networks
Without discourse connectives, classifying implicit discourse relations is a challenging task and a bottleneck for building a practical discourse parser.
Li, Sujian +3 more
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Polarimetric SAR Data Classification via Reinforcement Learning
Inspired by human’s learning characteristic that knowledge is gradually learned little by little, a Spatial-Polarimetric Reinforcement Learning (SPRL) approach is proposed for Polarimetric Synthetic Aperture Radar (PolSAR) data classification ...
Min Wang +4 more
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Graph Classification via Heat Diffusion on Simplicial Complexes
In this paper, we study the graph classification problem in vertex-labeled graphs. Our main goal is to classify graphs by comparing their higher-order structures thanks to heat diffusion on their simplices.
Mehmet E. Aktas, Esra Akbas
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Multi-object Classification via Crowdsourcing with a Reject Option
Consider designing an effective crowdsourcing system for an $M$-ary classification task. Crowd workers complete simple binary microtasks whose results are aggregated to give the final result.
Li, Qunwei +3 more
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