
SpatialSpectral Clustering with Anchor Graph for Hyperspectral Image
Hyperspectral image (HSI) clustering, which aims at dividing hyperspectr...
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Autoweighted Multiview Feature Selection with Graph Optimization
In this paper, we focus on the unsupervised multiview feature selection...
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RayNet: Realtime Scene Arbitraryshape Text Detection with Multiple Rays
Existing object detectionbased text detectors mainly concentrate on det...
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Spatialspectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning
Graphbased semisupervised learning methods, which deal well with the s...
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Examining mobility data justice during 2017 Hurricane Harvey
Natural disasters can significantly disrupt human mobility in urban area...
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Multichannel Deep Supervision for Crowd Counting
Crowd counting is a task worth exploring in modern society because of it...
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An Identitybased Batch Verification Scheme for VANETs Based on Ring Signature with Efficient Revocation
Vehicular adhoc networks (VANETs) are one of the most important compone...
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Modelbased Meta Reinforcement Learning using Graph Structured Surrogate Models
Reinforcement learning is a promising paradigm for solving sequential de...
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Thermodynamically Consistent Algorithms for Models of Diblock Copolymer Solutions Interacting with Electric and Magnetic Fields
We derive thermodynamically consistent models for diblock copolymer solu...
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An Optimal Mass Transport Method for Random Genetic Drift
We propose and analyze an optimal mass transport method for a random gen...
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BOTD: Bold Outline Text Detector
Recently, text detection for arbitrary shape has attracted more and more...
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Unsupervised Semantic Aggregation and Deformable Template Matching for SemiSupervised Learning
Unlabeled data learning has attracted considerable attention recently. H...
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A Flow Base Bipath Network for Crossscene Video Crowd Understanding in Aerial View
Drones shooting can be applied in dynamic traffic monitoring, object det...
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Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
Neural processes (NPs) constitute a family of variational approximate mo...
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iPhantom: a framework for automated creation of individualized computational phantoms and its application to CT organ dosimetry
Objective: This study aims to develop and validate a novel framework, iP...
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Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos
Many semantic events in team sport activities e.g. basketball often invo...
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Supplementary Variable Method for Developing StructurePreserving Numerical Approximations to Thermodynamically Consistent Partial Differential Equations
We present a new temporal discretization paradigm for developing energy...
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Stable and Efficient Policy Evaluation
Policy evaluation algorithms are essential to reinforcement learning due...
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New Construction of Optimal TypeII Binary ZComplementary Pairs
A pair of sequences is called a Zcomplementary pair (ZCP) if it has zer...
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A note on an OACFpreserving operation based on Parker's Transformation
Binary sequences with low oddperiodic correlation magnitudes have found...
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Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting
Crossdomain crowd counting (CDCC) is a hot topic due to its importance ...
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CNNbased Density Estimation and Crowd Counting: A Survey
Accurately estimating the number of objects in a single image is a chall...
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Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
Knowledge graph models world knowledge as concepts, entities, and the re...
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Focus on Semantic Consistency for Crossdomain Crowd Understanding
For pixellevel crowd understanding, it is timeconsuming and laborious ...
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An energybased discontinuous Galerkin method for semilinear wave equations
We generalize the energybased discontinuous Galerkin method proposed in...
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Where Does It Exist: SpatioTemporal Video Grounding for MultiForm Sentences
In this paper, we consider a novel task, SpatioTemporal Video Grounding...
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SpatialSpectral Residual Network for Hyperspectral Image SuperResolution
Deep learningbased hyperspectral image superresolution (SR) methods ha...
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NWPUCrowd: A LargeScale Benchmark for Crowd Counting
In the last decade, crowd counting attracts much attention of researcher...
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Domainadaptive Crowd Counting via Interdomain Features Segregation and Gaussianprior Reconstruction
Recently, crowd counting using supervised learning achieves a remarkable...
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Featureaware Adaptation and Structured Density Alignment for Crowd Counting in Video Surveillance
With the development of deep neural networks, the performance of crowd c...
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WeaklySupervised Video Moment Retrieval via Semantic Completion Network
Video moment retrieval is to search the moment that is most relevant to ...
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Arbitrarily Highorder Linear Schemes for Gradient Flow Models
We present a paradigm for developing arbitrarily high order, linear, unc...
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SubChannel Allocation for DevicetoDevice Underlaying FullDuplex mmWave Small Cells using Coalition Formation Games
The small cells in millimeter wave (mmWave) have been utilized extensive...
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Detecting AI Trojans Using Meta Neural Analysis
Machine learning models, especially neural networks (NNs), have achieved...
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IBRS: An Efficient Identitybased Batch Verification Scheme for VANETs Based on Ring Signature
Vehicular adhoc networks (VANETs) are one of the most important compone...
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Bayesian Inference on Volatility in the Presence of Infinite Jump Activity and Microstructure Noise
Volatility estimation based on highfrequency data is key to accurately ...
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SCAR: Spatial/Channelwise Attention Regression Networks for Crowd Counting
Recently, crowd counting is a hot topic in crowd analysis. Many CNNbase...
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Auditable Credential Anonymity Revocation Based on PrivacyPreserving Smart Contracts
Anonymity revocation is an essential component of credential issuing sys...
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New nonexistence results on (m,n)generalized bent functions
In this paper, we present some new nonexistence results on (m,n)general...
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Combinatorial tdesigns from quadratic functions
Combinatorial tdesigns have been an interesting topic in combinatorics ...
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Arbitrarily Highorder Unconditionally Energy Stable Schemes for Thermodynamically Consistent Gradient Flow Models
We present a systematical approach to developing arbitrarily high order,...
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Arbitrarily Highorder Unconditionally Energy Stable Schemes for Gradient Flow Models Using the Scalar Auxiliary Variable Approach
In this paper, we propose a novel family of highorder numerical schemes...
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Placement Delivery Arrays from Combinations of Strong Edge Colorings
It has recently been pointed out in both of the works [C. Shanguan, Y. Z...
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Estimating Commuting Patterns from High Resolution Phone GPS Data
The rise of location positioning technologies has generated enormous vol...
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PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Crowd counting from a single image is a challenging task due to high app...
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Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
Hyperspectral image (HSI) classification, which aims to assign an accura...
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GETNET: A General Endtoend Twodimensional CNN Framework for Hyperspectral Image Change Detection
Change detection (CD) is an important application of remote sensing, whi...
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Learning by Inertia: Selfsupervised Monocular Visual Odometry for Road Vehicles
In this paper, we present iDVO (inertiaembedded deep visual odometry), ...
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Optimizationbased Decentralized Coded Caching for Files and Caches with Arbitrary Size
Existing decentralized coded caching solutions cannot guarantee small lo...
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VSSANET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection
Although traffic sign detection has been studied for years and great pro...
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Qi Wang
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