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Global estimation of phytoplankton pigment concentrations from satellite data using a deep-learning-based model
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2023, 卷号: 294, 页码: 16
作者:
Li, Xiaolong
;
Yang, Yi
;
Ishizaka, Joji
;
Li, Xiaofeng
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/12/13
Phytoplankton pigments
Remote sensing
Deep learning
Satellite
Global Ocean
Phytoplankton community
El Nino
Mixture Correntropy-Based Kernel Extreme Learning Machines
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 811-825
作者:
Zheng, Yunfei
;
Chen, Badong
;
Wang, Shiyuan
;
Wang, Weiqun
;
Qin, Wei
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2022/03/17
Kernel
Optimization
Learning systems
Robustness
Support vector machines
Mean square error methods
Extreme learning machine (ELM)
kernel method
mixture correntropy
online learning
BV-Net: Bin-based Vector-predicted Network for tubular solder joint detection
期刊论文
MEASUREMENT, 2021, 卷号: 183, 页码: 8
作者:
Zhou, Chenlin
;
Shen, Xiaofei
;
Wang, Peng
;
Wei, Wei
;
Sun, Jia
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  |  
浏览/下载:64/0
  |  
提交时间:2021/11/04
Object detection
Defect detection
Quality inspection
Tubular solder joint detection
Deep learning
Broad Learning System Based on Maximum Correntropy Criterion
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3083-3097
作者:
Zheng, Yunfei
;
Chen, Badong
;
Wang, Shiyuan
;
Wang, Weiqun
收藏
  |  
浏览/下载:69/0
  |  
提交时间:2021/08/15
Learning systems
Robustness
Standards
Optimization
Training
Perturbation methods
Mean square error methods
Broad learning system (BLS)
incremental learning algorithms
maximum correntropy criterion (MCC)
regression and classification
Joint Sparse Locality-Aware Regression for Robust Discriminative Learning
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 14
作者:
Hu, Liangchen
;
Zhang, Wensheng
;
Dai, Zhenlei
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  |  
浏览/下载:27/0
  |  
提交时间:2022/02/16
Feature selection and extraction
joint L-2,L-1-norms sparsity
locality-aware graph learning
marginal representation learning
On semi-supervised multiple representation behavior learning
期刊论文
JOURNAL OF COMPUTATIONAL SCIENCE, 2020, 卷号: 46, 页码: 17
作者:
Lu, Ruqian
;
Hou, Shengluan
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/04/26
Semi-supervised learning
Semi-supervised multiple representation behavior learning
Semi-supervised grammar learning
On semi-supervised multiple representation behavior learning
期刊论文
JOURNAL OF COMPUTATIONAL SCIENCE, 2020, 卷号: 46, 页码: 17
作者:
Lu, Ruqian
;
Hou, Shengluan
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/12/01
Semi-supervised learning
Semi-supervised multiple representation behavior learning
Semi-supervised grammar learning
Multi-Modality Multi-Task Recurrent Neural Network for Online Action Detection
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 9, 页码: 2667-2682
作者:
Liu, Jiaying
;
Li, Yanghao
;
Song, Sijie
;
Xing, Junliang
;
Lan, Cuiling
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  |  
浏览/下载:68/0
  |  
提交时间:2019/12/16
Action detection
recurrent neural network
multi-modality
joint classification-regression
Dimensionality Reduction in Multiple Ordinal Regression
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 9, 页码: 4088-4101
作者:
Zeng, Jiabei
;
Liu, Yang
;
Leng, Biao
;
Xiong, Zhang
;
Cheung, Yiu-ming
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/12/10
Dimensionality reduction (DR)
multiple labels
ordinal regression
supervised
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection
期刊论文
ieee transactions on neural networks and learning systems, 2017, 卷号: 28, 期号: 6, 页码: 1263-1275
作者:
Zhu, Xiaofeng
;
Li, Xuelong
;
Zhang, Shichao
;
Ju, Chunhua
;
Wu, Xindong
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  |  
浏览/下载:54/0
  |  
提交时间:2017/06/14
Dimensionality reduction
manifold learning
regression
sparse coding
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