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自动化研究所 [7]
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期刊论文 [29]
会议论文 [4]
发表日期
2019 [33]
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Predictive mapping with small field sample data using semi-supervised machine learning
期刊论文
TRANSACTIONS IN GIS, 2019, 页码: 17
作者:
Du, Fei
;
Zhu, A-Xing
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/05/19
A comparison of the approaches for gentrification identification
期刊论文
CITIES, 2019, 卷号: 95, 页码: 14
作者:
Liu, Cheng
;
Deng, Yu
;
Song, Weixuan
;
Wu, Qiyan
;
Gong, Jian
收藏
  |  
浏览/下载:103/0
  |  
提交时间:2020/05/19
Gentrification identification
Threshold
K-means clustering
Housing reinvestment
Displacement
Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect
期刊论文
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2019, 页码: 33
作者:
Liu, Bo
;
Chi, Wenhao
;
Li, Xinran
;
Li, Peng
;
Liang, Wenhua
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  |  
浏览/下载:25/0
  |  
提交时间:2020/05/24
Computer-aided diagnosis
Pulmonary nodules
Lung cancer
Deep learning
Artificial intelligence
Review
Experimental Simultaneous Learning of Multiple Nonclassical Correlations
期刊论文
PHYSICAL REVIEW LETTERS, 2019, 卷号: 123, 期号: 19, 页码: 6
作者:
Yang, Mu
;
Ren, Chang-liang
;
Ma, Yue-chi
;
Xiao, Ya
;
Ye, Xiang-Jun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/08/24
Mapping sugarcane in complex landscapes by integrating multi-temporal Sentinel-2 images and machine learning algorithms
期刊论文
LAND USE POLICY, 2019, 卷号: 88, 页码: 11
作者:
Wang, Ming
;
Liu, Zhengjia
;
Baig, Muhammad Hasan Ali
;
Wang, Yongsheng
;
Li, Yurui
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/05/19
Crop phenology
Sentinel-2 images
Machine learning approach
Sugarcane mapping
Land use
A Machine Learning Approach to Crater Classification from Topographic Data
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 21, 页码: 30
作者:
Liu, Qiangyi
;
Cheng, Weiming
;
Yan, Guangjian
;
Zhao, Yunliang
;
Liu, Jianzhong
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  |  
浏览/下载:3/0
  |  
提交时间:2020/05/19
moon
distinguish primary craters from secondary craters
machine learning
crater characteristics
Dynamic attention loss for small-sample image classification
会议论文
Lanzhou, China, November 18, 2019 - November 21, 2019
作者:
Cao, Jie
;
Qiu, Yinping
;
Chang, Dongliang
;
Li, Xiaoxu
;
Ma, Zhanyu
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浏览/下载:0/0
  |  
提交时间:2020/11/15
Convolutional neural networks
Image enhancement
Cross entropy
Discriminative features
Loss functions
Machine learning approaches
Model generalization
Similarity measurements
Small samples
Training process
Online Bayesian max-margin subspace learning for multi-view classification and regression
期刊论文
MACHINE LEARNING, 2019, 页码: 31
作者:
He, Jia
;
Du, Changying
;
Zhuang, Fuzhen
;
Yin, Xin
;
He, Qing
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2020/12/10
Multi-view learning
Online learning
Bayesian subspace learning
Max-margin
Classification
Regression
High-dimensional multimedia classification using deep CNN and extended residual units
期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 17, 页码: 23867-23882
作者:
Shamsolmoali, Pourya
;
Jain, Deepak Kumar
;
Zareapoor, Masoumeh
;
Yang, Jie
;
Alam, M. Afshar
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  |  
浏览/下载:51/0
  |  
提交时间:2019/12/16
High dimensional
Multimedia data classification
Deep learning
Feature extraction
Residual network
View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 8, 页码: 1963-1978
作者:
Zhang, Pengfei
;
Lan, Cuiling
;
Xing, Junliang
;
Zeng, Wenjun
;
Xue, Jianru
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2019/12/16
View adaptation
skeleton
action recognition
RNN
CNN
consistent
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