Search领域自适应returned 8 results

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1

Robust and reliable symmetric cross-entropy-based test-time adaptation

基于鲁棒和可靠对称交叉熵的测试时适应算法

Xiong Haoyu

Xiang Yu

Zhang Yaping

test-time adaptation

domain adaptation

continuous adaptation

distribution change

Accepted Paper No. 6, 2024 : doi:10.19734/j.issn.1001-3695.2023.10.0500

2

Domain adaptation based on weighted classification loss and nuclear-norm

基于加权分类损失和核范数的领域自适应模型

Du Shelin

Huang Binghe

Li Rongpeng

Song Xueli

Xiao Yuzhu

domain adaptation

weighted classification loss

nuclear-norm

pseudo-label

No. 6, 2023 : 1734-1738 doi:10.19734/j.issn.1001-3695.2022.10.0514

3

Cross-domain recommendation under graph generation process

基于图生成过程的跨领域推荐

Cai Ruichu

Wu Fengzhu

Li Zijian

disentanglement

graph neural networks

domain adaptation

recommendation system

causal generation process

No. 8, 2022 : 2333-2339 doi:10.19734/j.issn.1001-3695.2022.01.0015

4

Cross-domain feature learning method for motor imagery EEG signals

运动想象脑电信号的跨域特征学习方法

Wei Hongyu

Chen Lifei

Luo Tianjian

motor imagery

EEG signal

cross-domain feature learning

domain adaptation

covariance alignment

No. 8, 2022 : 2340-2346,2351 doi:10.19734/j.issn.1001-3695.2022.01.0016

5

Pseudo label based unsupervised domain adaptation classification method

基于伪标签的无监督领域自适应分类方法

Yang Guoqing

Guo Benhua

Qian Shuqu

Wu Huihong

Han Jing

unsupervised domain adaptation

transfer learning

pseudo-label

No. 5, 2022 : 1357-1361 doi:10.19734/j.issn.1001-3695.2021.10.0442

6

Research on domain adaptation medical image segmentation based on adversarial learning

基于对抗学习的医学图像分割领域自适应研究

Wang Shaofan

Ma Chi

Hu Hui

Lu Shengliang

medical image segmentation

unsupervised domain adaptation

conditional generation adversarial networks

deep learning

collaborative integration of domain knowledge

No. 4, 2022 : 1270-1273 doi:10.19734/j.issn.1001-3695.2021.07.0334

7

Unsupervised domain adaptive algorithm with intra-class maximum mean discrepancy

基于类内最大均值差异的无监督领域自适应算法

Cai Ruichu

Li Jiahao

Hao Zhifeng

domain adaptation

unsupervised learning

neural network

maximum mean discrepancy

No. 8, 2020 : 2371-2375 doi:10.19734/j.issn.1001-3695.2019.03.0042

8

Comparison of methods for integrating lexicon information in Chinese word segmentation

中文分词模型词典融入方法比较

Feng Xue

Chinese word segmentation

conditional random field

beam-search

domain adaption

No. 1, 2019 : 8-10,17 doi:10.19734/j.issn.1001-3695.2017.05.0643