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Adaptive-weighted deep multi-view clustering with uniform scale representation
期刊论文
NEURAL NETWORKS, 2024, 卷号: 171, 页码: 114-126
作者:
Chen, Rui
;
Tang, Yongqiang
;
Zhang, Wensheng
;
Feng, Wenlong
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/21
Multi-view clustering
Deep clustering
Adaptive-weighted learning
Uniform scale representation
Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 231-239
作者:
Yahui Liu
;
Bin Tian
;
Yisheng Lv
;
Lingxi Li
;
Fei-Yue Wang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/01/02
Content-based Transformer
deep learning
feature aggregator
local attention
point cloud classification
CLDRNet: A Difference Refinement Network Based on Category Context Learning for Remote Sensing Image Change Detection
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 2133-2148
作者:
Wan, Ling
;
Tian, Ye
;
Kang, Wenchao
;
Ma, Lei
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/02/20
Feature extraction
Task analysis
Remote sensing
Transformers
Deep learning
Semantics
Support vector machines
Category context learning (CCL)
clustering learning (CL)
difference map refinement (DMR)
optical remote sensing image
change detection (CD)
Flood Disaster Assessment Method Based on a Stacked Denoising Autoencoder
期刊论文
ELECTRONICS, 2023, 卷号: 12
作者:
Chen, Yanping
;
Wang, Yilun
;
Wu, Zhize
;
Zou, Le
;
Li, Wenbo
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/11/10
flood disaster
stacked denoising autoencoders
deep learning
Two Independently Comparative Transcriptome Analyses of Hemocytes Provide New Insights into Understanding the Disease-Resistant Characteristics of Shrimp against Vibrio Infection
期刊论文
BIOLOGY-BASEL, 2023, 卷号: 12, 期号: 7, 页码: 13
作者:
Li, Shihao
;
Zhang, Keke
;
Du, Wenran
;
Li, Fuhua
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  |  
浏览/下载:3/0
  |  
提交时间:2023/12/13
penaeid shrimp
hemocyte
disease-resistant
Vibrio parahaemolyticus
Semisupervised Progressive Representation Learning for Deep Multiview Clustering
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Chen, Rui
;
Tang, Yongqiang
;
Xie, Yuan
;
Feng, Wenlong
;
Zhang, Wensheng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/11/17
Representation learning
Training
Data models
Task analysis
Complexity theory
Semisupervised learning
Optimization
Deep clustering
multiview clustering
progressive sample learning
semisupervised learning
Variational deep embedding-based active learning for the diagnosis of pneumonia
期刊论文
FRONTIERS IN NEUROROBOTICS, 2022, 卷号: 16, 页码: 7
作者:
Huang, Jian
;
Ding, Wen
;
Zhang, Jiarun
;
Li, Zhao
;
Shu, Ting
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/02/07
pneumonia diagnosis
active learning
variational autoencoders
brain-like computing
human-centric computing
Efficient MSPSO Sampling for Object Detection and 6-D Pose Estimation in 3-D Scenes
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 10, 页码: 10281-10291
作者:
Xing, Xuejun
;
Guo, Jianwei
;
Nan, Liangliang
;
Gu, Qingyi
;
Zhang, Xiaopeng
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2022/06/10
Pose estimation
Three-dimensional displays
Robustness
Robot kinematics
Image segmentation
Deep learning
Clustering algorithms
3-D point cloud
6-D pose estimation
multisubpopulation particle swarm optimization (MSPSO)
point pair features (PPF)
Mapping relationships among schizophrenia, bipolar and schizoaffective disorders: A deep classification and clustering framework using fMRI time series
期刊论文
SCHIZOPHRENIA RESEARCH, 2022, 卷号: 245, 页码: 141-150
作者:
Yan, Weizheng
;
Zhao, Min
;
Fu, Zening
;
Pearlson, Godfrey D.
;
Sui, Jing
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/07/25
Deep learning
FMRI
Schizophrenia
Bipolar disorder
Schizoaffective disorder
A stacking-based short-term wind power forecasting method by CBLSTM and ensemble learning
期刊论文
Journal of Renewable and Sustainable Energy, 2022, 卷号: 14, 期号: 4
作者:
Wang, Nier
;
Li, Zhanming
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/09/22
Data handling
Decision trees
Electric load dispatching
Machine learning
Weather forecasting
Wind farm
Ensemble learning
Forecasting methods
Large amounts
Multi-model combination
Processing capacities
Short-term wind power forecasting
Stacking framework
Stackings
Times series
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