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A Principle Solution for Enroll-Test Mismatch in Speaker Recognition
Mismatch between enrollment and test conditions causes serious performan...
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Robust mixture regression with Exponential Power distribution
Assuming an exponential power distribution is one way to deal with outli...
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Generating private data with user customization
Personal devices such as mobile phones can produce and store large amoun...
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Group-Skeleton-Based Human Action Recognition in Complex Events
Human action recognition as an important application of computer vision ...
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The HUAWEI Speaker Diarisation System for the VoxCeleb Speaker Diarisation Challenge
This paper describes system setup of our submission to speaker diarisati...
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Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition
Transformer has achieved competitive performance against state-of-the-ar...
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Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network
Real-time cardiac cine MRI does not require ECG gating in the data acqui...
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Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation
Cardiac motion estimation plays a key role in MRI cardiac feature tracki...
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Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture
How can we effectively leverage the domain knowledge from remote sensing...
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The 1st Agriculture-Vision Challenge: Methods and Results
The first Agriculture-Vision Challenge aims to encourage research in dev...
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Probabilistic Load-Margin Assessment using Vine Copula and Gaussian Process Emulation
The increasing penetration of renewable energy along with the variations...
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Computational Performance of a Germline Variant Calling Pipeline for Next Generation Sequencing
With the booming of next generation sequencing technology and its implem...
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FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
Motion estimation of cardiac MRI videos is crucial for the evaluation of...
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Advanced Variations of Two-Dimensional Principal Component Analysis for Face Recognition
The two-dimensional principal component analysis (2DPCA) has become one ...
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Energy Resource Control via Privacy Preserving Data
Although the frequent monitoring of smart meters enables granular contro...
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Uncertainty Quantification in Stochastic Economic Dispatch using Gaussian Process Emulation
The increasing penetration of renewable energy resources in power system...
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NEZHA: Neural Contextualized Representation for Chinese Language Understanding
The pre-trained language models have achieved great successes in various...
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Dialog State Tracking with Reinforced Data Augmentation
Neural dialog state trackers are generally limited due to the lack of qu...
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Understanding Video Content: Efficient Hero Detection and Recognition for the Game "Honor of Kings"
In order to understand content and automatically extract labels for vide...
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News Cover Assessment via Multi-task Learning
Online personalized news product needs a suitable cover for the article....
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Modeling Semantic Compositionality with Sememe Knowledge
Semantic compositionality (SC) refers to the phenomenon that the meaning...
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Relaxed 2-D Principal Component Analysis by L_p Norm for Face Recognition
A relaxed two dimensional principal component analysis (R2DPCA) approach...
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Distributed generation of privacy preserving data with user customization
Distributed devices such as mobile phones can produce and store large am...
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Meta Learning for Few-shot Keyword Spotting
Keyword spotting with limited training data is a challenging task which ...
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Data-Rate Driven Transmission Strategy for Deep Learning Based Communication Systems
Deep learning (DL) based autoencoder is a promising architecture to impl...
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End-to-end Segmentation with Recurrent Attention Neural Network
Image segmentation quality depends heavily on the quality of the image. ...
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Electric vehicle charging during the day or at night: a perspective on carbon emissions
We propose an emission-oriented charging scheme to evaluate the emission...
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Understanding Compressive Adversarial Privacy
Designing a data sharing mechanism without sacrificing too much privacy ...
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Dual-label Deep LSTM Dereverberation For Speaker Verification
In this paper, we present a reverberation removal approach for speaker v...
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Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
Machine learning based solutions have been successfully employed for aut...
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Generative Adversarial Privacy
We present a data-driven framework called generative adversarial privacy...
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A Generalized Data Representation and Training-Performance Analysis for Deep Learning-Based Communications Systems
Deep learning (DL)-based autoencoder is a potential architecture to impl...
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A Generalized Data Representation for Deep Learning-Based Communications Systems
Deep learning (DL)-based autoencoder is a potential architecture to impl...
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Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning
The UN Sustainable Development Goals allude to the importance of infrast...
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Using AI to Hack IA: A New Stealthy Spyware Against Voice Assistance Functions in Smart Phones
Intelligent Personal Assistant (IA), also known as Voice Assistant (VA),...
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High-dimensional Stochastic Inversion via Adjoint Models and Machine Learning
Performing stochastic inversion on a computationally expensive forward s...
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A hybrid architecture for astronomical computing
With many large science equipment constructing and putting into use, ast...
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Parking Sensing and Information System: Sensors, Deployment, and Evaluation
This paper describes a smart parking sensing and information system that...
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Context-Aware Generative Adversarial Privacy
Preserving the utility of published datasets while simultaneously provid...
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Statistical Parametric Speech Synthesis Using Generative Adversarial Networks Under A Multi-task Learning Framework
In this paper, we aim at improving the performance of synthesized speech...
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