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Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images
Onfocus detection aims at identifying whether the focus of the individua...
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Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches
A rapid decline in mortality and fertility has become major issues in ma...
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Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches
Human mortality patterns and trajectories in closely related populations...
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Modelling Paralinguistic Properties in Conversational Speech to Detect Bipolar Disorder and Borderline Personality Disorder
Bipolar disorder (BD) and borderline personality disorder (BPD) are two ...
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A Linearized Learning with Multiscale Deep Neural Network for Stationary Navier-Stokes Equations with Oscillatory Solutions
In this paper, we combine a linearized iterative method with multi-scale...
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Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection
The explosive growth of fake news along with destructive effects on poli...
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Reinforcement Learning under Model Risk for Biomanufacturing Fermentation Control
In the biopharmaceutical manufacturing, fermentation process plays a cri...
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Multi-Scale Networks for 3D Human Pose Estimation with Inference Stage Optimization
Estimating 3D human poses from a monocular video is still a challenging ...
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Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder
Relying on large pretrained language models such as Bidirectional Encode...
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Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version)
Incremental processing is widely-adopted in many applications, ranging f...
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Multi-scale Deep Neural Network (MscaleDNN) Methods for Oscillatory Stokes Flows in Complex Domains
In this paper, we study a multi-scale deep neural network (MscaleDNN) as...
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Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews
Bipolar disorder (BD) and borderline personality disorder (BPD) are both...
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A Matrix Basis Formulation For The Green's Functions Of Maxwell's Equations And The Elastic Wave Equations In Layered Media
A matrix basis formulation is introduced to represent the 3 x 3 dyadic G...
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Exponential convergence for multipole and local expansions and their translations for sources in layered media: three-dimensional Laplace equation
In this paper, we prove the exponential convergence of the multipole and...
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Simulation-Based Digital Twin Development for Blockchain Enabled End-to-End Industrial Hemp Supply Chain Risk Management
With the passage of the 2018 U.S. Farm Bill, Industrial Hemp production ...
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DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
We present DeCLUTR: Deep Contrastive Learning for Unsupervised Textual R...
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On time-domain NRBC for Maxwell's equations and its application in accurate simulation of electromagnetic invisibility cloaks
In this paper, we present analytic formulas of the temporal convolution ...
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Semantic Triple Encoder for Fast Open-Set Link Prediction
We improve both the open-set generalization and efficiency of link predi...
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COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution
A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...
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A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box
Currently, reliable and accurate ship detection in optical remote sensin...
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The importance of transparency and reproducibility in artificial intelligence research
In their study, McKinney et al. showed the high potential of artificial ...
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Fast Multipole Method for 3-D Linearized Poisson-Boltzmann Equation in Layered Media
In this paper, we propose a fast multipole method (FMM) for 3-D lineariz...
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SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation
Medical image segmentation is a difficult but important task for many cl...
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Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks
Diffusion has shown great success in improving accuracy of unsupervised ...
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Diversity Transfer Network for Few-Shot Learning
Few-shot learning is a challenging task that aims at training a classifi...
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End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models
Named entity recognition (NER) and relation extraction (RE) are two impo...
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Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip
The next wave of on-device AI will likely require energy-efficient deep ...
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Progressive Feature Polishing Network for Salient Object Detection
Feature matters for salient object detection. Existing methods mainly fo...
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A Pooled Quantile Estimator for Parallel Simulations
Quantile is an important risk measure quantifying the stochastic system ...
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s-LWSR: Super Lightweight Super-Resolution Network
Deep learning (DL) architectures for superresolution (SR) normally conta...
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Learning from Label Proportions with Generative Adversarial Networks
In this paper, we leverage generative adversarial networks (GANs) to der...
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An Efficient Iterative Method for Solving Multiple Scattering in Locally Inhomogeneous Media
In this paper, an efficient iterative method is proposed for solving mul...
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Fast multipole method for 3-D Laplace equation in layered media
In this paper, a fast multipole method (FMM) is proposed for 3-D Laplace...
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Deep Differentiable Random Forests for Age Estimation
Age estimation from facial images is typically cast as a label distribut...
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Can We Derive Explicit and Implicit Bias from Corpus?
Language is a popular resource to mine speakers' attitude bias, supposin...
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New insights on Multi-Solution Distribution of the P3P Problem
Traditionally, the P3P problem is solved by firstly transforming its 3 q...
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Geometric Interpretation of side-sharing and point-sharing solutions in the P3P Problem
It is well known that the P3P problem could have 1, 2, 3 and at most 4 p...
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Moment Matching for Multi-Source Domain Adaptation
Conventional unsupervised domain adaptation (UDA) assumes that training ...
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Robust Face Detection via Learning Small Faces on Hard Images
Recent anchor-based deep face detectors have achieved promising performa...
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Biconvex Landscape In SDP-Related Learning
Many machine learning problems can be reduced to learning a low-rank pos...
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Image Captioning based on Deep Reinforcement Learning
Recently it has shown that the policy-gradient methods for reinforcement...
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Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities
New technologies have enabled the investigation of biology and human hea...
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Network Enhancement: a general method to denoise weighted biological networks
Networks are ubiquitous in biology where they encode connectivity patter...
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Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents
Movies provide us with a mass of visual content as well as attracting st...
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Deep Co-Training for Semi-Supervised Image Recognition
In this paper, we study the problem of semi-supervised image recognition...
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Learning to Synthesize
In many scenarios we need to find the most likely program under a local ...
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Deep Regression Forests for Age Estimation
Age estimation from facial images is typically cast as a nonlinear regre...
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Single-Shot Object Detection with Enriched Semantics
We propose a novel single shot object detection network named Detection ...
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Gradually Updated Neural Networks for Large-Scale Image Recognition
We present a simple yet effective neural network architecture for image ...
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SYSTRAN Purely Neural MT Engines for WMT2017
This paper describes SYSTRAN's systems submitted to the WMT 2017 shared ...
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