咨询与建议

限定检索结果

文献类型

  • 9 篇 期刊文献
  • 6 篇 会议

馆藏范围

  • 15 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 10 篇 工学
    • 7 篇 计算机科学与技术...
    • 7 篇 软件工程
    • 3 篇 信息与通信工程
    • 2 篇 材料科学与工程(可...
    • 2 篇 电气工程
    • 2 篇 建筑学
    • 2 篇 土木工程
    • 1 篇 电子科学与技术(可...
    • 1 篇 化学工程与技术
    • 1 篇 生物工程
  • 9 篇 理学
    • 6 篇 数学
    • 2 篇 物理学
    • 2 篇 化学
    • 1 篇 生物学
    • 1 篇 统计学(可授理学、...

主题

  • 2 篇 generative adver...
  • 2 篇 semantics
  • 1 篇 knowledge engine...
  • 1 篇 optical imaging
  • 1 篇 statistical test...
  • 1 篇 human-machine in...
  • 1 篇 computational ef...
  • 1 篇 image segmentati...
  • 1 篇 deformation
  • 1 篇 drugs
  • 1 篇 bioelectronics
  • 1 篇 breast
  • 1 篇 nanoelectronics
  • 1 篇 image retrieval
  • 1 篇 pattern recognit...
  • 1 篇 statistical anal...
  • 1 篇 visualization
  • 1 篇 algorithm design...
  • 1 篇 analytical model...
  • 1 篇 feature extracti...

机构

  • 4 篇 cas key laborato...
  • 2 篇 cas key laborato...
  • 1 篇 unisa stem and f...
  • 1 篇 instituto nacion...
  • 1 篇 electrical engin...
  • 1 篇 school of geogra...
  • 1 篇 centre for invas...
  • 1 篇 andes to amazon ...
  • 1 篇 the cas key labo...
  • 1 篇 school of chemis...
  • 1 篇 department of bo...
  • 1 篇 guyana forestry ...
  • 1 篇 polish state for...
  • 1 篇 geobotany facult...
  • 1 篇 quantitative bio...
  • 1 篇 school of materi...
  • 1 篇 department of bi...
  • 1 篇 tropenbos intern...
  • 1 篇 department of pl...
  • 1 篇 biology centre o...

作者

  • 4 篇 tian xinmei
  • 4 篇 tao dacheng
  • 4 篇 li bin
  • 3 篇 bin li
  • 2 篇 tran van do
  • 2 篇 rentuo tao
  • 2 篇 ziqiang li
  • 2 篇 shen xu
  • 2 篇 tao rentuo
  • 2 篇 sun shaoyan
  • 2 篇 niu hongjing
  • 2 篇 li ziqiang
  • 2 篇 he anfeng
  • 1 篇 qianrun wu
  • 1 篇 swanepoel ben
  • 1 篇 florian wittmann
  • 1 篇 rolim samir g.
  • 1 篇 eben n broadbent
  • 1 篇 coomes david a.
  • 1 篇 andrew hector

语言

  • 15 篇 英文
检索条件"机构=CAS Key Laboratory of Spatial Information Processing and Applied Systems"
15 条 记 录,以下是1-10 订阅
排序:
Interpreting the Latent Space of GANs via Measuring Decoupling
IEEE Transactions on Artificial Intelligence
收藏 引用
IEEE Transactions on Artificial Intelligence 2021年 第1期2卷 58-70页
作者: Li, Ziqiang Tao, Rentuo Wang, Jie Li, Fu Niu, Hongjing Yue, Mingdao Li, Bin The CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems University of Science and Technology of China Hefei230052 China The Department of Electronic Engineering and Information Science University of Science and Technology of China Hefei230052 China The School of Information Science and Technology University of Science and Technology of China Hefei230052 China The College of Mechanical and Electrical Engineering Suzhou University Suzhou234000 China
With the success of generative adversarial networks (GANs) on various real-world applications, the controllability and security of GANs have raised more and more concerns from the community. Specifically, understandin... 详细信息
来源: 评论
DA-RefineNet: Dual-inputs Attention RefineNet for Whole Slide Image Segmentation
DA-RefineNet: Dual-inputs Attention RefineNet for Whole Slid...
收藏 引用
International Conference on Pattern Recognition
作者: Ziqiang Li Rentuo Tao Qianrun Wu Bin Li CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems University of Science and Technology of China Hefei Anhui China School of foreign studies Hefei University of Technology Hefei Anhui China
Automatic medical image segmentation has wide applications for disease diagnosing. However, it is much more challenging than natural optical image segmentation due to the high-resolution of medical images and the corr... 详细信息
来源: 评论
Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation
Interpreting the Latent Space of GANs via Correlation Analys...
收藏 引用
International Conference on Pattern Recognition
作者: Ziqiang Li Rentuo Tao Hongjing Niu Mingdao Yue Bin Li CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems University of Science and Technology of China Hefei Anhui China College of Mechanical and Electrical Engineering Suzhou University Suzhou Anhui China
Generative adversarial nets (GANs) have been successfully applied in many fields like image generation, inpainting, super-resolution, and drug discovery, etc. By now, the inner process of GANs is far from being unders... 详细信息
来源: 评论
Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation
arXiv
收藏 引用
arXiv 2020年
作者: Li, Ziqiang Tao, Rentuo Niu, Hongjing Li, Bin CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems University of Science and Technology of China Anhui China
Generative adversarial nets (GANs) have been successfully applied in many fields like image generation, inpainting, super-resolution and drug discovery, etc., by now, the inner process of GANs is far from been underst... 详细信息
来源: 评论
Improving resistance to adversarial deformations by regularizing gradients
arXiv
收藏 引用
arXiv 2020年
作者: Xia, Pengfei Li, Bin CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems Department of Electronic Engineering and Information Science University of Science of Technology of China Hefei China
Improving the resistance of deep neural networks against adversarial attacks is important for deploying models to realistic applications. Currently, most defense methods are designed to defend against additive noise a... 详细信息
来源: 评论
Transform-Invariant Convolutional Neural Networks for Image Classification and Search
arXiv
收藏 引用
arXiv 2019年
作者: Shen, Xu Tian, Xinmei He, Anfeng Sun, Shaoyan Tao, Dacheng CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei Anhui230027 China Centre for Quantum Computation & Intelligent Systems Faculty of Engineering and Information Technology University of Technology Sydney UltimoNSW2007 Australia
Convolutional neural networks (CNNs) have achieved state-of-the-art results on many visual recognition tasks. However, current CNN models still exhibit a poor ability to be invariant to spatial transformations of imag... 详细信息
来源: 评论
Technology Roadmap for Flexible Sensors
收藏 引用
ACS NANO 2023年 第6期17卷 5211-5295页
作者: Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash
Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitati... 详细信息
来源: 评论
Domain generalization via conditional invariant representations
arXiv
收藏 引用
arXiv 2018年
作者: Li, Ya Gong, Mingming Tian, Xinmei Liu, Tongliang Tao, Dacheng CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems University of Science and Technology of China UBTECH Sydney Artificial Intelligence Institute SIT FEIT University of Sydney Department of Philosophy Carnegie Mellon University Department of Biomedical Informatics University of Pittsburgh
Domain generalization aims to apply knowledge gained from multiple labeled source domains to unseen target domains. The main difficulty comes from the dataset bias: Training data and test data have different distribut... 详细信息
来源: 评论
Transform-invariant convolutional neural networks for image classification and search  24
Transform-invariant convolutional neural networks for image ...
收藏 引用
24th ACM Multimedia Conference, MM 2016
作者: Shen, Xu Tian, Xinmei He, Anfeng Sun, Shaoyan Tao, Dacheng CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei Anhui230027 China Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology SydneyNSW2007 Australia
Convolutional neural networks (CNNs) have achieved stateof-the-art results on many visual recognition tasks. However, current CNN models still exhibit a poor ability to be invariant to spatial transformations of image... 详细信息
来源: 评论
Circuit tolerance design by differential evolution with hybrid analysis method
Circuit tolerance design by differential evolution with hybr...
收藏 引用
International Workshop on Advanced Computational Intelligence (IWACI)
作者: Fugui Zhong Bin Li Bo Yuan CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems University of Science and Technology of China Hefei China CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI) University of Science and Technology of China Hefei China USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI) University of Science and Technology of China Hefei China
With the continued scaling down of electronic device dimensions, circuit design under parameter variations has received increasing interests. In this paper, a new method that combine the differential evolution with hy... 详细信息
来源: 评论