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科研机构
自动化研究所 [108]
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期刊论文 [80]
会议论文 [17]
学位论文 [11]
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2022 [3]
2021 [5]
2020 [10]
2019 [4]
2018 [7]
2017 [8]
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Computer S... [1]
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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)
Robust Hand Gesture Recognition Using HOG-9ULBP Features and SVM Model
期刊论文
ELECTRONICS, 2022, 卷号: 11, 期号: 7, 页码: 15
作者:
Li, Jianyong
;
Li, Chengbei
;
Han, Jihui
;
Shi, Yuefeng
;
Bian, Guibin
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/06/10
hand gesture recognition
support vector machines
feature extraction
image classification
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
Incremental Learning With Open-Set Recognition for Remote Sensing Image Scene Classification
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:
Liu, Weiwei
;
Nie, Xiangli
;
Zhang, Bo
;
Sun, Xian
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/07/25
Task analysis
Feature extraction
Data models
Computational modeling
Learning systems
Training
Support vector machines
Deep learning
incremental learning
open-set recognition (OSR)
remote sensing (RS) image scene classification
Learning with smooth Hinge losses
期刊论文
NEUROCOMPUTING, 2021, 卷号: 463, 页码: 379-387
作者:
Luo, JunRu
;
Qiao, Hong
;
Zhang, Bo
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/12/28
Smooth Hinge loss
Convex surrogate loss
Support vector machine
Trust region Newton method
A Minimax Probability Machine for Nondecomposable Performance Measures
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Luo, Junru
;
Qiao, Hong
;
Zhang, Bo
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/01/27
Measurement
Task analysis
Covariance matrices
Support vector machines
Prediction algorithms
Minimization
Kernel
Imbalanced classification
minimax probability machine
nondecomposable performance measures
Novel Feature Fusion Module-Based Detector for Small Insulator Defect Detection
期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 15, 页码: 16807-16814
作者:
Gao, Zishu
;
Yang, Guodong
;
Li, En
;
Liang, Zize
收藏
  |  
浏览/下载:105/0
  |  
提交时间:2021/11/02
Feature extraction
Insulators
Sensors
Image segmentation
Inspection
Fuses
Support vector machines
Insulator defect detection
anchor-free object detection
data augmentation
aerial image
Web Objectionable Video Recognition Based on Deep Multi-Instance Learning With Representative Prototypes Selection
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 3, 页码: 1222-1233
作者:
Ding, Xinmiao
;
Li, Bing
;
Li, Yangxi
;
Guo, Wen
;
Liu, Yao
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/04/27
Feature extraction
Prototypes
Visualization
Support vector machines
Machine learning
Streaming media
Spectrogram
Representative prototype selection
objectionable video recognition
deep learning
Convolutional Ordinal Regression Forest for Image Ordinal Estimation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Zhu, Haiping
;
Shan, Hongming
;
Zhang, Yuheng
;
Che, Lingfu
;
Xu, Xiaoyang
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2022/01/27
Decision trees
Estimation
Task analysis
Forestry
Vegetation
Random forests
Support vector machines
Differentiable decision trees
image ordinal estimation
ordinal distribution learning
ordinal regression (OR)
random forest
Temporal embedding and spatiotemporal feature selection boost multi-voxel pattern analysis decoding accuracy
期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2020, 卷号: 345, 页码: 13
作者:
Choupan, Jeiran
;
Douglas, Pamela K.
;
Gal, Yaniv
;
Cohen, Mark S.
;
Reutens, David C.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/01/07
fMRI
Multi-variate pattern analysis
Spatiotemporal feature selection
Multiband EPI
Random forest
Support vector machine
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