
Error estimate of a decoupled numerical scheme for the CahnHilliardStokesDarcy system
We analyze a fully discrete finite element numerical scheme for the Cahn...
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Learning SliceAware Representations with Mixture of Attentions
Realworld machine learning systems are achieving remarkable performance...
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DLANet: Learning Dual Local Attention Features for Semantic Segmentation of LargeScale Building Facade Point Clouds
Semantic segmentation of building facade is significant in various appli...
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Convergence analysis of the variational operator splitting scheme for a reactiondiffusion system with detailed balance
We present a detailed convergence analysis for an operator splitting sch...
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Federated Learning with Fair Averaging
Fairness has emerged as a critical problem in federated learning (FL). I...
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A positivitypreserving, energy stable scheme for a Ternary CahnHilliard system with the singular interfacial parameters
In this paper, we construct and analyze a uniquely solvable, positivity ...
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Handling LongTail Queries with SliceAware Conversational Systems
We have been witnessing the usefulness of conversational AI systems such...
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An energy stable finite element scheme for the threecomponent CahnHilliardtype model for macromolecular microsphere composite hydrogels
In this article, we present and analyze a finite element numerical schem...
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A Detectoroblivious Multiarm Network for Keypoint Matching
This paper presents a matching network to establish point correspondence...
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FAIR1M: A Benchmark Dataset for Finegrained Object Recognition in HighResolution Remote Sensing Imagery
With the rapid development of deep learning, many deep learning based ap...
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A positivitypreserving and convergent numerical scheme for the binary fluidsurfactant system
In this paper, we develop a first order (in time) numerical scheme for t...
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A second order accurate scalar auxiliary variable (SAV) numerical method for the square phase field crystal equation
In this paper we propose and analyze a second order accurate (in time) n...
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Structurepreserving, energy stable numerical schemes for a liquid thin film coarsening model
In this paper, two finite difference numerical schemes are proposed and ...
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A decoupled scheme with secondorder temporal accuracy for magnetohydrodynamic equations
In this paper, we propose and analyze a temporally secondorder accurate...
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Uncertainty Estimation and Calibration with FiniteState Probabilistic RNNs
Uncertainty quantification is crucial for building reliable and trustabl...
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A third order BDF energy stable linear scheme for the noslopeselection thin film model
In this paper we propose and analyze a (temporally) third order accurate...
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A Structurepreserving, Operator Splitting Scheme for ReactionDiffusion Equations Involving the Law of Mass Action
In this paper, we propose and analyze a positivitypreserving, energy st...
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A positivitypreserving, energy stable and convergent numerical scheme for the PoissonNernstPlanck system
In this paper we propose and analyze a finite difference numerical schem...
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VPCNet: Completion of 3D Vehicles from MLS Point Clouds
Vehicles are the most concerned investigation target as a dynamic and es...
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A second order accurate numerical scheme for the porous medium equation by an energetic variational approach
The porous medium equation (PME) is a typical nonlinear degenerate parab...
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iTV: Inferring Traffic ViolationProne Locations with Vehicle Trajectory and Road Environment Data
Traffic violations like illegal parking, illegal turning, and speeding h...
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DNNaided Readvoltage Threshold Optimization for MLC Flash Memory with Finite Block Length
The error correcting performance of multilevelcell (MLC) NAND flash me...
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A positivitypreserving secondorder BDF scheme for the CahnHilliard equation with variable interfacial parameters
We present and analyze a new secondorder finite difference scheme for t...
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A Positive and Energy Stable Numerical Scheme for the PoissonNernstPlanckCahnHilliard Equations with Steric Interactions
We consider numerical methods for the PoissonNernstPlanckCahnHilliar...
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Review: deep learning on 3D point clouds
Point cloud is point sets defined in 3D metric space. Point cloud has be...
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Point2Node: Correlation Learning of DynamicNode for Point Cloud Feature Modeling
Fully exploring correlation among points in point clouds is essential fo...
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Convergence analysis of a numerical scheme for the porous medium equation by an energetic variational approach
The porous medium equation (PME) is a typical nonlinear degenerate parab...
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Limitedbudget output consensus for descriptor multiagent systems with energy constraints
The current paper deals with limitedbudget output consensus for descrip...
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Secondorder semiimplicit projection methods for micromagnetics simulations
Micromagnetics simulations require accurate approximation of the magneti...
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A stabilized second order exponential time differencing multistep method for thin film growth model without slope selection
In this paper, a stabilized second order in time accurate linear exponen...
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An Energy Stable BDF2 Fourier PseudoSpectral Numerical Scheme for the Square Phase Field Crystal Equation
In this paper we propose and analyze an energy stable numerical scheme f...
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Accelerating Minibatch SARAH by Step Size Rules
StochAstic Recursive grAdient algoritHm (SARAH), originally proposed for...
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PointNLM: Point NonlocalMeans for vegetation segmentation based on middle echo point clouds
Middleecho, which covers one or a few corresponding points, is a specif...
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RFNet: An EndtoEnd Image Matching Network based on Receptive Field
This paper proposes a new endtoend trainable matching network based on...
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Fast RegularityConstrained Plane Reconstruction
Manmade environments typically comprise planar structures that exhibit ...
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LONet: Deep Realtime Lidar Odometry
We present a novel deep convolutional network pipeline, LONet, for real...
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RecSysDAN: Discriminative Adversarial Networks for CrossDomain Recommender Systems
Data sparsity and data imbalance are practical and challenging issues in...
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StateRegularized Recurrent Neural Networks
Recurrent neural networks are a widely used class of neural architecture...
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A Fast Iterative Algorithm for Highdimensional Differential Network
Differential network is an important tool to capture the changes of cond...
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Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression
Quadratic regression goes beyond the linear model by simultaneously incl...
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Integrating and querying similar tables from PDF documents using deep learning
Large amount of public data produced by enterprises are in semistructur...
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NeuroTreeNet: A New Method to Explore Horizontal Expansion Network
It is widely recognized that the deeper networks or networks with more f...
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An efficient ADMM algorithm for high dimensional precision matrix estimation via penalized quadratic loss
The estimation of high dimensional precision matrices has been a central...
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Geometric MultiModel Fitting by Deep Reinforcement Learning
This paper deals with the geometric multimodel fitting from noisy, unst...
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RealPoint3D: Point Cloud Generation from a Single Image with Complex Background
3D point cloud generation by the deep neural network from a single image...
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LRMM: Learning to Recommend with Missing Modalities
Multimodal learning has shown promising performance in contentbased rec...
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GEEC: Scalable, Efficient, and Consistent Consensus for Blockchains
Blockchain technology has the potential to deploy broad decentralized ap...
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Unsupervised Domain Adaptive ReIdentification: Theory and Practice
We study the problem of unsupervised domain adaptive reidentification (...
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Dynamic Output Feedback GuaranteedCost Synchronization for Multiagent Networks with Given Cost Budgets
The current paper addresses the distributed guaranteedcost synchronizat...
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Artificial Impostors for Location Privacy Preservation
The progress of locationbased services has led to serious concerns on l...
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