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Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach
Semi-supervised graph embedding methods represented by graph convolution...
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The Chi-Square Test of Distance Correlation
Distance correlation has gained much recent attention in the statistics ...
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A deep network for sinogram and CT image reconstruction
A CT image can be well reconstructed when the sampling rate of the sinog...
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Rethinking Kernel Methods for Node Representation Learning on Graphs
Graph kernels are kernel methods measuring graph similarity and serve as...
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Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Adversarial data augmentation has shown promise for training robust deep...
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Learning Dense Stereo Matching for Digital Surface Models from Satellite Imagery
Digital Surface Model generation from satellite imagery is a difficult t...
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Learning to Learn Single Domain Generalization
We are concerned with a worst-case scenario in model generalization, in ...
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Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge
Cross-modal knowledge distillation deals with transferring knowledge fro...
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Robust Guided Image Filtering
The process of using one image to guide the filtering process of another...
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Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs
Human visual system relies on both binocular stereo cues and monocular f...
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From Distance Correlation to Multiscale Generalized Correlation
Understanding and developing a correlation measure that can detect gener...
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Hyperspectral Light Field Stereo Matching
In this paper, we describe how scene depth can be extracted using a hype...
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An Interactive Greedy Approach to Group Sparsity in High Dimension
Sparsity learning with known grouping structures has received considerab...
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A wavelet frame coefficient total variational model for image restoration
In this paper, we propose a Rudin-Osher-Fatemi(ROF)-like model for image...
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A Learning-based Framework for Hybrid Depth-from-Defocus and Stereo Matching
Depth from defocus (DfD) and stereo matching are two most studied passiv...
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Occlusion-Model Guided Anti-Occlusion Depth Estimation in Light Field
Occlusion is one of the most challenging problems in depth estimation. P...
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Resolving Scale Ambiguity Via XSlit Aspect Ratio Analysis
In perspective cameras, images of a frontal-parallel 3D object preserve ...
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Im2Fit: Fast 3D Model Fitting and Anthropometrics using Single Consumer Depth Camera and Synthetic Data
Recent advances in consumer depth sensors have created many opportunitie...
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A Scaled Smart City for Experimental Validation of Connected and Automated Vehicles
The common thread that characterizes energy efficient mobility systems f...
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The smallest eigenvalues of Hamming graphs, Johnson graphs and other distance-regular graphs with classical parameters
We prove a conjecture by Van Dam and Sotirov on the smallest eigenvalue ...
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Spectral and Combinatorial Properties of Some Algebraically Defined Graphs
Let k> 3 be an integer, q be a prime power, and F_q denote the field of ...
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Robust 3D Human Motion Reconstruction Via Dynamic Template Construction
In multi-view human body capture systems, the recovered 3D geometry or e...
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Comment Generation for Source Code: State of the Art, Challenges and Opportunities
Researches have shown that most effort of today's software development i...
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A spectral version of the Moore problem for bipartite regular graphs
Let b(k,θ) be the maximum order of a connected bipartite k-regular graph...
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Continuous Preintegration Theory for Graph-based Visual-Inertial Navigation
In this paper we propose a new continuous preintegration theory for grap...
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Robocentric Visual-Inertial Odometry
In this paper, we propose a novel robocentric formulation of the visual-...
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Observability Analysis of Aided INS with Heterogeneous Features of Points, Lines and Planes
In this paper, we perform a thorough observability analysis for lineariz...
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An extension of the Plancherel measure
Given a distribution in the unite square and having iid sample from it t...
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Lightweight Unsupervised Deep Loop Closure
Robust efficient loop closure detection is essential for large-scale rea...
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Visual-Inertial Target Tracking and Motion Planning for UAV-based Radiation Detection
This paper addresses the problem of detecting radioactive material in tr...
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The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing
Distance-based methods, also called "energy statistics", are leading met...
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Traffic Differentiation in Dense WLANs with CSMA/ECA-DR MAC Protocol
In today's WLANs, scheduling of packet transmissions solely relies on th...
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Addressing Johnson graphs, complete multipartite graphs, odd cycles and other graphs
Graham and Pollak showed that the vertices of any graph G can be address...
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An Exact Upper Bound on the L^p Lebesgue Constant and The ∞-Rényi Entropy Power Inequality for Integer Valued Random Variables
In this paper, we proved an exact asymptotically sharp upper bound of th...
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Blockchain-inspired Event Recording System for Autonomous Vehicles
Autonomous vehicles are capable of sensing their environment and navigat...
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Power and Energy-efficiency Roofline Model for GPUs
Energy consumption has been a great deal of concern in recent years and ...
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Security Implications of Fog Computing on the Internet of Things
Recently, the use of IoT devices and sensors has been rapidly increased ...
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4D Human Body Correspondences from Panoramic Depth Maps
The availability of affordable 3D full body reconstruction systems has g...
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Entropy versus variance for symmetric log-concave random variables and related problems
We show that the uniform distribution minimises entropy among all symmet...
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Joint Tx-Rx Beamforming and Power Allocation for 5G Millimeter-Wave Non-Orthogonal Multiple Access (MmWave-NOMA) Networks
In this paper, we investigate the combination of non-orthogonal multiple...
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An Isoperimetric Result on High-Dimensional Spheres
We consider an extremal problem for subsets of high-dimensional spheres ...
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Decision Forests Induce Characteristic Kernels
Decision forests are popular tools for classification and regression. Th...
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Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles
Using deep reinforcement learning, we train control policies for autonom...
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Beyond Uniform Reverse Sampling: A Hybrid Sampling Technique for Misinformation Prevention
Online misinformation has been considered as one of the top global risks...
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Joint Millimeter Wave and Microwave Wave Resource Allocation Design for Dual-Mode Base Stations
In this paper, we consider the design of joint resource blocks (RBs) and...
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Demonstration of a Time-Efficient Mobility System Using a Scaled Smart City
The implementation of connected and automated vehicle (CAV) technologies...
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Multi-Authority Attribute-Based Access Control with Smart Contract
Attribute-based access control makes access control decisions based on t...
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An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM
It holds great implications for practical applications to enable centime...
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Exploring the Generality of a Java-based Loop Action Model for the Quorum Programming Language
Many algorithmic steps require more than one statement to implement, but...
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Two remarks on generalized entropy power inequalities
This note contributes to the understanding of generalized entropy power ...
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