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浏览/检索结果: 共65条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 GAS: General-Purpose In-Memory-Computing Accelerator for Sparse Matrix Multiplication 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTERS, 2024, 卷号: 73, 期号: 6, 页码: 1427-1441 作者:  Zhang, Xiaoyu;  Li, Zerun;  Liu, Rui;  Chen, Xiaoming   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/12/06 Sparse matrices  FeFETs  Computer architecture  Arrays  Nonvolatile memory  Microprocessors  Vectors  Sparse matrix multiplication  in-memory computing  SpMV  SpMSpV  SpMM  SpMSpM   Ground Moving Target Detection With Adaptive Data Reconstruction and Improved Pseudo-Skeleton Decomposition 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 14 作者:  He, Xiongpeng;  Liu, Kun;  Gu, Tong;  Liao, Guisheng;  Zhu, Shengqi   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/12/06 Clutter  Object detection  Sparse matrices  Principal component analysis  Matrix decomposition  Image reconstruction  Estimation  Data reconstruction (DR)  ground moving target indication (GMTI)  joint-pixel model  pseudo-skeleton decomposition (IPSD)  robust principal component analysis (RPCA)   Multi-View Matrix Factorization for Sparse Mobile Crowdsensing 期刊论文  OAI收割 IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 24, 页码: 25767-25779 作者:  Li, Xiaocan;  Xie, Kun;  Xie, Gaogang;  Li, Kenli;  Cao, Jiannong   |  收藏  |  浏览/下载：17/0  |  提交时间：2023/07/12 Sparse matrices  Sensors  Data models  Estimation  Indexes  Air quality  Task analysis  Matrix factorization  mobile crowdsensing (MCS)   A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794 作者:  Yuan, Ye;  He, Qiang;  Luo, Xin;  Shang, Mingsheng   |  收藏  |  浏览/下载：41/0  |  提交时间：2022/08/22 Computational modeling  Sparse matrices  Big Data  Data models  Stochastic processes  Training  Software algorithms  Big data  latent factor analysis  generally multilayered structure  deep forest  multilayered extreme learning machine  randomized-learning  high-dimensional and sparse matrix  stochastic gradient descent  randomized model   Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 卷号: 34, 期号: 2, 页码: 640-652 作者:  Gu, Jingjing;  Zhou, Qiang;  Yang, Jingyuan;  Liu, Yanchi;  Zhuang, Fuzhen   |  收藏  |  浏览/下载：35/0  |  提交时间：2022/12/07 Sparse matrices  Urban areas  Satellite broadcasting  Redundancy  Predictive models  Data models  Matrix converters  Dockless bike sharing system  pattern exploitation  interpretable base matrices  flow prediction   Non-Negative Latent Factor Model Based on beta-Divergence for Recommender Systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 8, 页码: 4612-4623 作者:  Xin, Luo;  Yuan, Ye;  Zhou, MengChu;  Liu, Zhigang;  Shang, Mingsheng   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/08/20 beta-divergence  big data  high-dimensional and sparse (HiDS) matrix  industrial application  learning algorithm  non-negative latent factor (NLF) analysis  recommender system   Weighted Total Variation Regularized Blind Unmixing for Hyperspectral Image 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 页码: 5 作者:  Song, Hanjie;  Wu, Xing;  Zou, Anqi;  Liu, Yang;  Zou, Yongliao   |  收藏  |  浏览/下载：68/0  |  提交时间：2022/07/04 TV  Hyperspectral imaging  Sparse matrices  Matrix decomposition  Linear programming  Estimation  Biological system modeling  Alternating direction method of multipliers (ADMM)  blind hyperspectral unmixing  hyperspectral imagery (HSI)  total variation (TV)   A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 7, 页码: 4285-4296 作者:  Wu, Di;  Luo, Xin;  Shang, Mingsheng;  He, Yi;  Wang, Guoyin   |  收藏  |  浏览/下载：29/0  |  提交时间：2021/08/20 Big data  deep model  high-dimensional and sparse (HiDS) matrix  latent factor (LF) analysis  recommender system (RS)   An L-1-and-L-2-Norm-Oriented Latent Factor Model for Recommender Systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14 作者:  Wu, Di;  Shang, Mingsheng;  Luo, Xin;  Wang, Zidong   |  收藏  |  浏览/下载：23/0  |  提交时间：2022/08/22 High-dimensional and sparse (HiDS) matrix  latent factor (LF) analysis  L-1 norm  L-2 norm  recommender system (RS)   Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models 期刊论文  OAI收割 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   |  收藏  |  浏览/下载：80/0  |  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)