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期刊论文 [9]
会议论文 [2]
发表日期
2019 [11]
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Exploring uncertainty in pseudo-label guided unsupervised domain adaptation
期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96, 页码: 11
作者:
Liang, Jian
;
He, Ran
;
Sun, Zhenan
;
Tan, Tieniu
收藏
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浏览/下载:105/0
  |  
提交时间:2019/12/16
Unsupervised domain adaptation
Pseudo labeling
Feature transformation
Progressive learning
Transfer learning
Generalizability of machine learning for classification of schizophrenia based on resting-state functional MRI data
期刊论文
HUMAN BRAIN MAPPING, 2019, 页码: 13
作者:
Cai, Xin-Lu
;
Xie, Dong-Jie
;
Madsen, Kristoffer H.
;
Wang, Yong-Ming
;
Bogemann, Sophie Alida
收藏
  |  
浏览/下载:300/0
  |  
提交时间:2019/11/26
generalizability
machine learning
reproducibility
schizophrenia spectrum disorders
3D-Aided Dual-Agent GANs for Unconstrained Face Recognition
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 10, 页码: 2380-2394
作者:
Zhao, Jian
;
Xiong, Lin
;
Li, Jianshu
;
Xing, Junliang
;
Yan, Shuicheng
收藏
  |  
浏览/下载:81/0
  |  
提交时间:2019/12/16
Face synthesis
unconstrained face recognition
3D face model
generative adversarial networks
Hyperspectral image classification based on multiple kernel mutual learning
期刊论文
INFRARED PHYSICS & TECHNOLOGY, 2019, 卷号: 99, 页码: 113-122
作者:
Cui, Binge
;
Zhong, Liwei
;
Yin, Bei
;
Ren, Guangbo
;
Lu, Yan
收藏
  |  
浏览/下载:23/0
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提交时间:2019/08/19
Mutual learning
Multiple kernel learning
Hyperspectral images
Classification
Hyperspectral image classification based on multiple kernel mutual learning
期刊论文
INFRARED PHYSICS & TECHNOLOGY, 2019, 卷号: 99, 页码: 113-122
作者:
Cui, Binge
;
Zhong, Liwei
;
Yin, Bei
;
Ren, Guangbo
;
Lu, Yan
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2019/07/01
Mutual learning
Multiple kernel learning
Hyperspectral images
Classification
Stellar Spectra Classification by Support Vector Machine with Unlabeled Data
期刊论文
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 卷号: 39, 期号: 3, 页码: 948-952
作者:
Zhang Jing
;
Tu Liang-ping
;
Wang Jie
;
Liu Zhong-bao
;
Lei Yu-fei
收藏
  |  
浏览/下载:52/0
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提交时间:2019/05/23
Stellar spectra
Intelligent classification
Twin support vector machine
Unlabeled data
Semi-supervised person Re-Identification using multi-view clustering
期刊论文
Pattern Recognition, 2019, 卷号: 88, 页码: 285-297
作者:
Xin, Xiaomeng
;
Wang, Jinjun
;
Xie, Ruji
;
Zhou, Sanping
;
Huang, Wenli
收藏
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浏览/下载:26/0
  |  
提交时间:2019/11/19
Convolutional neural network
Labeled training data
Multi-view clustering
Person re identifications
Propagation process
Semi- supervised learning
Semi-supervised
Unlabeled samples
Unlabeled Data Driven Channel-Wise Bit-Width Allocation and Quantization Refinement
会议论文
Sydney, Australia, 2019.12.12-15
作者:
Yong Yuan
;
Chen Chen
;
Xiyuan Hu
;
Silong Peng
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浏览/下载:30/0
  |  
提交时间:2019/09/25
Semi-supervised domain adaptation via Fredholm integral based kernel methods
期刊论文
PATTERN RECOGNITION, 2019, 卷号: 85, 页码: 185-197
作者:
Wang, Wei
;
Wang, Hao
;
Zhang, Zhaoxiang
;
Zhang, Chen
;
Gao, Yang
收藏
  |  
浏览/下载:68/0
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提交时间:2019/01/08
Domain adaptation
Semi-supervised learning
Multiple kernel learning
Hilbert space embedding of distributions
A general non-parametric active learning framework for classification on multiple manifolds
期刊论文
Pattern Recognition Letters, 2019
作者:
Huang, L.
;
Ma, Y.
;
Liu, X.
收藏
  |  
浏览/下载:12/0
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提交时间:2019/12/30
Artificial intelligence
Classifiers
Cost reduction
Iterative methods
Learning algorithms
Learning systems
Active Learning
Active-learning algorithm
Global uncertainty
Label propagation
Multi-class classification
Non-parametric
Real-world datasets
Unlabeled samples
Classification (of information)
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