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07/05/2022
Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph
Multiple kernel clustering (MKC) is committed to achieving optimal infor...
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11/23/2021
Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis
Matrix factorization (MF) can extract the low-rank features and integrat...
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02/26/2021
Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification
New categories can be discovered by transforming semantic features into ...
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01/19/2021
Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning
As a new generation of Public Bicycle-sharing Systems (PBS), the dockles...
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01/19/2021
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network
Benefiting from convenient cycling and flexible parking locations, the D...
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12/07/2020
SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition
Sparse Tucker Decomposition (STD) algorithms learn a core tensor and a g...
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11/17/2020
Stochastic Client Selection for Federated Learning with Volatile Clients
Federated Learning (FL), arising as a novel secure learning paradigm, ha...
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11/03/2020
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
The issue of potential privacy leakage during centralized AI's model tra...
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07/04/2020
A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19
The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly ...
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04/12/2019
Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing
In this paper, we propose a Distributed Intelligent Video Surveillance (...
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02/21/2019
Gradient Scheduling with Global Momentum for Non-IID Data Distributed Asynchronous Training
Distributed asynchronous offline training has received widespread attent...
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12/30/2018
A High-Performance CNN Method for Offline Handwritten Chinese Character Recognition and Visualization
Recent researches introduced fast, compact and efficient convolutional n...
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10/17/2018
A Periodicity-based Parallel Time Series Prediction Algorithm in Cloud Computing Environments
In the era of big data, practical applications in various domains contin...
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10/17/2018
A Disease Diagnosis and Treatment Recommendation System Based on Big Data Mining and Cloud Computing
It is crucial to provide compatible treatment schemes for a disease acco...
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10/17/2018
A Parallel Patient Treatment Time Prediction Algorithm and its Applications in Hospital Queuing-Recommendation in a Big Data Environment
Effective patient queue management to minimize patient wait delays and p...
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10/17/2018
A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment
With the emergence of the big data age, the issue of how to obtain valua...
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10/17/2018
A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks
Benefitting from large-scale training datasets and the complex training ...
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11/30/2017