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A Guide to Global Quantum Key Distribution Networks
We describe systems and methods for the deployment of global quantum key...
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SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions
This paper addresses the problem of optimizing partition functions in a ...
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Point Cloud Attribute Compression via Successive Subspace Graph Transform
Inspired by the recently proposed successive subspace learning (SSL) pri...
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Eliminating the Barriers: Demystify Wi-Fi Baseband Design And Introduce PicoScenes Wi-Fi Sensing Platform
Research on Wi-Fi sensing over the past decade has been thriving, but no...
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A Time To Event Framework For Multi-touch Attribution
Multi-touch attribution (MTA) estimates the relative contributions of th...
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LogoDet-3K: A Large-Scale Image Dataset for Logo Detection
Logo detection has been gaining considerable attention because of its wi...
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A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions
Bayesian networks are powerful statistical models to study the probabili...
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FaultFace: Deep Convolutional Generative Adversarial Network (DCGAN) based Ball-Bearing Failure Detection Method
Failure detection is employed in the industry to improve system performa...
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Quantum Secured Internet Transport
Quantum computing represents an emerging threat to the public key infras...
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Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment
In this study, we focus on the unsupervised domain adaptation problem wh...
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Discriminative Feature Alignment: ImprovingTransferability of Unsupervised DomainAdaptation by Gaussian-guided LatentAlignment
In this study, we focus on the unsupervised domain adaptation problem wh...
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Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks
Fluorescein angiography can provide a map of retinal vascular structure ...
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Endpoints for randomized controlled clinical trials for COVID-19 treatments
Introduction: Endpoint choice for randomized controlled trials of treatm...
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Reinforcement Learning-Based Joint Self-Optimisation Method for the Fuzzy Logic Handover Algorithm in 5G HetNets
5G heterogeneous networks (HetNets) can provide higher network coverage ...
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A Polynomial Neural network with Controllable Precision and Human-Readable Topology II: Accelerated Approach Based on Expanded Layer
How about converting Taylor series to a network to solve the black-box n...
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AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography
Angle closure glaucoma (ACG) is a more aggressive disease than open-angl...
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A Relation Spectrum Inheriting Taylor Series: Muscle Synergy and Coupling for Hand
There are two famous function decomposition methods in math: 1) Taylor S...
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Muscle Synergy and Coupling for Hand
The knowledge of the intuitive link between muscle activity and the fing...
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A Polynomial Neural Network with Controllable Precision and Human-Readable Topology for Prediction and System Identification
Although the success of artificial neural networks (ANNs), there is stil...
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Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network
This research proposes a Ground Penetrating Radar (GPR) data processing ...
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G-VAE: A Continuously Variable Rate Deep Image Compression Framework
Rate adaption of deep image compression in a single model will become on...
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Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing
Deep Reinforcement Learning (RL) is proven powerful for decision making ...
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Learning Hyperspectral Feature Extraction and Classification with ResNeXt Network
The Hyperspectral image (HSI) classification is a standard remote sensin...
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Surface Following using Deep Reinforcement Learning and a GelSightTactile Sensor
Tactile sensors can provide detailed contact in-formation that can facil...
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Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design
In recent years, the CNNs have achieved great successes in the image pro...
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RecSim: A Configurable Simulation Platform for Recommender Systems
We propose RecSim, a configurable platform for authoring simulation envi...
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Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation
Image paragraph generation is the task of producing a coherent story (us...
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Structure fusion based on graph convolutional networks for semi-supervised classification
Suffering from the multi-view data diversity and complexity for semi-sup...
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Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology
Most practical recommender systems focus on estimating immediate user en...
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Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features
Learning on point cloud is eagerly in demand because the point cloud is ...
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An Open Source Modeling Framework for Interdependent Energy-Transportation- Communication Infrastructure in Smart and Connected Communities
Infrastructure in future smart and connected communities is envisioned a...
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Directional PointNet: 3D Environmental Classification for Wearable Robotics
Environmental information can provide reliable prior information of huma...
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Detecting causality in multivariate time series via non-uniform embedding
Causal analysis based on non-uniform embedding schemes is an important w...
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An Active-Passive Measurement Study of TCP Performance over LTE on High-speed Rails
High-speed rail (HSR) systems potentially provide a more efficient way o...
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Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features
To predict lung nodule malignancy with a high sensitivity and specificit...
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Automatic multi-objective based feature selection for classification
Accurately classifying malignancy of lesions detected in a screening sca...
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Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects
Motivated by the important archaeological application of exploring cultu...
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Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion
Radiomics aims to extract and analyze large numbers of quantitative feat...
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Subspace Approximation for Approximate Nearest Neighbor Search in NLP
Most natural language processing tasks can be formulated as the approxim...
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Online Feature Selection with Group Structure Analysis
Online selection of dynamic features has attracted intensive interest in...
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Visual Processing by a Unified Schatten-p Norm and ℓ_q Norm Regularized Principal Component Pursuit
In this paper, we propose a non-convex formulation to recover the authen...
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Sparse Coding and Counting for Robust Visual Tracking
In this paper, we propose a novel sparse coding and counting method unde...
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Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data
The way people look in terms of facial attributes (ethnicity, hair color...
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Social Trust Prediction via Max-norm Constrained 1-bit Matrix Completion
Social trust prediction addresses the significant problem of exploring i...
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Object Proposal with Kernelized Partial Ranking
Object proposals are an ensemble of bounding boxes with high potential t...
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Statistical models and regularization strategies in statistical image reconstruction of low-dose X-ray CT: a survey
Statistical image reconstruction (SIR) methods have shown potential to s...
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Robust Face Recognition via Adaptive Sparse Representation
Sparse Representation (or coding) based Classification (SRC) has gained ...
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Fast Neighborhood Graph Search using Cartesian Concatenation
In this paper, we propose a new data structure for approximate nearest n...
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Fast Approximate K-Means via Cluster Closures
K-means, a simple and effective clustering algorithm, is one of the most...
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Network Anomaly Detection: A Survey and Comparative Analysis of Stochastic and Deterministic Methods
We present five methods to the problem of network anomaly detection. The...
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