
Recent Colorings And Labelings In Topological Coding
Topological Coding consists of two different kinds of mathematics: topol...
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Deep Learning for Depression Recognition with Audiovisual Cues: A Review
With the acceleration of the pace of work and life, people have to face ...
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Classification of Smoking and Calling using Deep Learning
Since 2014, very deep convolutional neural networks have been proposed a...
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AEGCN: An AutoencoderConstrained Graph Convolutional Network
We propose a novel neural network architecture, called autoencoderconst...
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Recognizing Handwritten Mathematical Expressions as LaTex Sequences Using a Multiscale Robust Neural Network
In this paper, a robust multiscale neural network is proposed to recogni...
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Topological Coding and Topological Matrices Toward Network Overall Security
A mathematical topology with matrix is a natural representation of a cod...
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An Efficient Method of Detection and Recognition in Remote Sensing Image Based on multiangle Region of Interests
Presently, deep learning technology has been widely used in the field of...
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Using Chinese Characters To Generate TextBased Passwords For Information Security
Graphical passwords (GPWs) are in many areas of the current world. Topol...
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Robust EncoderDecoder Learning Framework towards Offline Handwritten Mathematical Expression Recognition Based on MultiScale Deep Neural Network
Offline handwritten mathematical expression recognition is a challenging...
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Textbased Passwords Generated From Topological Graphic Passwords
Topological graphic passwords (Topsnutgpws) are one of graphtype passw...
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Topological Graphic Passwords And Their Matchings Towards Cryptography
Graphical passwords (GPWs) are convenient for mobile equipments with tou...
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ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography
Computeraided techniques may lead to more accurate and more accessible...
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Graph Theory Towards New Graphical Passwords In Information Networks
Graphical passwords (GPWs) have been studied over 20 years. We are motiv...
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Nonrigid Object Tracking via Deep Multiscale SpatialTemporal Discriminative Saliency Maps
In this paper we propose an effective nonrigid object tracking method b...
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Video Person Reidentification by Temporal Residual Learning
In this paper, we propose a novel feature learning framework for video p...
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Learning Uncertain Convolutional Features for Accurate Saliency Detection
Deep convolutional neural networks (CNNs) have delivered superior perfor...
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Amulet: Aggregating Multilevel Convolutional Features for Salient Object Detection
Fully convolutional neural networks (FCNs) have shown outstanding perfor...
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EndtoEnd Image SuperResolution via Deep and Shallow Convolutional Networks
One impressive advantage of convolutional neural networks (CNNs) is thei...
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Hongyu Wang
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