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Improving the Data Quality for Credit Card Fraud Detection
会议论文
Arlington, VA, USA, 2022-11
作者:
Rongrong Jing
;
Hu Tian
;
Yidi Li
;
Xingwei Zhang
;
Xiaolong Zheng
收藏
  |  
浏览/下载:74/0
  |  
提交时间:2022/06/17
A Pattern-Based SpGEMM Library for Multi-Core and Many-Core Architectures
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 159-175
作者:
Xie, Zhen
;
Tan, Guangming
;
Liu, Weifeng
;
Sun, Ninghui
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2021/12/01
Libraries
Sparse matrices
Prediction algorithms
Neural networks
Predictive models
Memory management
Tuners
SpGEMM
spare BLAS
sparse format
auto-tuning
neural network
Improved Measurement Matrix Construction with Pseudo-Random Sequence in Compressed Sensing
期刊论文
WIRELESS PERSONAL COMMUNICATIONS, 2022, 卷号: 123, 期号: 4, 页码: 3003-3024
作者:
He, Jiai
;
Wang, Tong
;
Wang, Chanfei
;
Chen, Yanjiao
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/03/01
Compressed sensing
Measurement matrix construction
Pseudorandom
Refactoring performance
Infrared Single-Frame Small Target Detection Based on Block-Matching
期刊论文
Sensors, 2022, 卷号: 22, 期号: 21, 页码: 14
作者:
Y. Man
;
Q. Y. Yang and T. Chen
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  |  
浏览/下载:1/0
  |  
提交时间:2023/06/14
A New Subspace Clustering Strategy for AI-Based Data Analysis in IoT System
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 16, 页码: 12540-12549
作者:
Cui, Zhihua
;
Jing, Xuechun
;
Zhao, Peng
;
Zhang, Wensheng
;
Chen, Jinjun
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  |  
浏览/下载:52/0
  |  
提交时间:2021/11/02
Sparse matrices
Internet of Things
Clustering algorithms
Correlation
Artificial intelligence
Servers
Hyperspectral imaging
Close neighbors
data analysis
hyperspectral images (HSIs)
Internet of Things (IoT)
subspace clustering
OCNet: Object Context for Semantic Segmentation
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 24
作者:
Yuan, Yuhui
;
Huang, Lang
;
Guo, Jianyuan
;
Zhang, Chao
;
Chen, Xilin
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/12/01
Semantic segmentation
Context
Self-attention
Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 4, 页码: 796-805
作者:
Wu, Di
;
Luo, Xin
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/05/17
High-dimensional and sparse matrix
L-1-norm
L-2-norm
latent factor model
recommender system
smooth L-1-norm
Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 4, 页码: 1737-1749
作者:
Liu, Zhigang
;
Luo, Xin
;
Wang, Zidong
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  |  
浏览/下载:118/0
  |  
提交时间:2021/05/17
Manganese
Convergence
Computational modeling
Learning systems
Analytical models
Sparse matrices
Big Data
Big data
convergence
high-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
learning system
neural networks
nonnegative LF (NLF) analysis
single LF-dependent nonnegative and multiplicative update (SLF-NMU)
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2021, 卷号: 7, 期号: 1, 页码: 227-240
作者:
Luo, Xin
;
Zhou, Mengchu
;
Li, Shuai
;
Wu, Di
;
Liu, Zhigang
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2021/05/17
Data models
Training
Sparse matrices
Recommender systems
Computational modeling
Big Data
Scalability
Non-negative latent factor analysis
non-negativity
latent factor analysis
unconstrained optimization
high-dimensional and sparse matrix
collaborative filtering
recommender system
big data
A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model
期刊论文
NEUROCOMPUTING, 2021, 卷号: 427, 页码: 29-39
作者:
Li, Jinli
;
Yuan, Ye
;
Ruan, Tao
;
Chen, Jia
;
Luo, Xin
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/03/17
Big data
Stochastic gradient descent
Proportional integral derivation
PID controller
High-dimensional and sparse matrix
Latent factor analysis
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