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科研机构
计算技术研究所 [20]
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期刊论文 [20]
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2021 [6]
2020 [3]
2019 [5]
2018 [2]
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Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 8, 页码: 3458-3470
作者:
Lai, Nan
;
Kan, Meina
;
Han, Chunrui
;
Song, Xingguang
;
Shan, Shiguang
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/12/01
Task analysis
Adaptation models
Training
Predictive models
Feature extraction
Generators
Computational modeling
Few-shot learning
meta-learning
predict classifier weights
task-adaptive predictor
Multi-labelled proteins recognition for high-throughput microscopy images using deep convolutional neural networks
期刊论文
BMC BIOINFORMATICS, 2021, 卷号: 22, 期号: SUPPL 3, 页码: 14
作者:
Zhang, Enze
;
Zhang, Boheng
;
Hu, Shaohan
;
Zhang, Fa
;
Liu, Zhiyong
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2021/12/01
Protein pattern recognition
DNNs
Multi-class and multi-label
Label imbalance
High-throughput microscopy images
MS-ANet: deep learning for automated multi-label thoracic disease detection and classification
期刊论文
PEERJ COMPUTER SCIENCE, 2021, 页码: 12
作者:
Xu, Jing
;
Li, Hui
;
Li, Xiu
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2021/12/01
Multi-label
Chest X-Ray images
Multi-Scale Attention Networks
Image Classification
Richer fusion network for breast cancer classification based on multimodal data
期刊论文
BMC Medical Informatics and Decision Making, 2021, 卷号: 21, 期号: Suppl 1
作者:
Yan,Rui
;
Zhang,Fa
;
Rao,Xiaosong
;
Lv,Zhilong
;
Li,Jintao
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/12/01
Pathological image
Electronic medical record
Multimodal fusion
Breast cancer classification
Convolutional neural network
Deep Subdomain Adaptation Network for Image Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 4, 页码: 1713-1722
作者:
Zhu, Yongchun
;
Zhuang, Fuzhen
;
Wang, Jindong
;
Ke, Guolin
;
Chen, Jingwu
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/12/01
Task analysis
Adaptation models
Kernel
Feature extraction
Learning systems
Semantics
Training
Domain adaptation
fine grained
subdomain
Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 2003-2015
作者:
Liu, Xinda
;
Min, Weiqing
;
Mei, Shuhuan
;
Wang, Lili
;
Jiang, Shuqiang
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/12/01
Diseases
Agriculture
Plants (biology)
Visualization
Image recognition
Feature extraction
Medical diagnosis
Plant disease recognition
fine-grained visual classification
reweighting approach
feature aggregation
Customized Federated Learning for accelerated edge computing with heterogeneous task targets
期刊论文
COMPUTER NETWORKS, 2020, 卷号: 183, 页码: 13
作者:
Jiang, Hui
;
Liu, Min
;
Yang, Bo
;
Liu, Qingxiang
;
Li, Jizhong
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/12/01
Edge computing
Federated Learning
Convergence performance
A Two-Stage Triplet Network Training Framework for Image Retrieval
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 12, 页码: 3128-3138
作者:
Min, Weiqing
;
Mei, Shuhuan
;
Li, Zhuo
;
Jiang, Shuqiang
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2021/12/01
Image retrieval
Feature extraction
Convolution
Training
Image representation
Task analysis
Measurement
A deep neural network compression algorithm based on knowledge transfer for edge devices
期刊论文
COMPUTER COMMUNICATIONS, 2020, 卷号: 163, 页码: 186-194
作者:
Chen, Yanming
;
Li, Chao
;
Gong, Luqi
;
Wen, Xiang
;
Zhang, Yiwen
收藏
  |  
浏览/下载:120/0
  |  
提交时间:2020/12/10
Edge device
Deep learning
Neural network compression
Knowledge transfer
Multi-representation adaptation network for cross-domain image classification
期刊论文
NEURAL NETWORKS, 2019, 卷号: 119, 页码: 214-221
作者:
Zhu, Yongchun
;
Zhuang, Fuzhen
;
Wang, Jindong
;
Chen, Jingwu
;
Shi, Zhiping
收藏
  |  
浏览/下载:106/0
  |  
提交时间:2019/12/10
Domain adaptation
Multi-representation
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