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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
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Hybridization of NSGA-II with greedy re-assignment for variation tolerant logic mapping on nano-scale crossbar architectures  14
Hybridization of NSGA-II with greedy re-assignment for varia...
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16th Genetic and Evolutionary Computation Conference Companion, GECCO 2014 Companion
作者: Zhong, Fugui Yuan, Bo Li, Bin CAS Key Laboratory of Technology Geo-spatial Information Processing and Application Systems University of Science and Technology of China Hefei China
There exit high variations among nano-devices in nano-electronic systems, owing to the extremely small size and the bottom-up self-assembly nanofabrication process. Therefore, it is important to develop logical functi... 详细信息
来源: 评论
Robust and accurate mobile visual localization and its applications
Robust and accurate mobile visual localization and its appli...
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作者: Liu, Heng Mei, Tao Li, Houqiang Luo, Jiebo Li, Shipeng CAS Key Laboratory of Spatial Information Processing and Applied Systems University of Science and Technology of China Hefei 230027 China Microsoft Research Asia Beijing 100080 China University of Rochester Rochester NY 14627 United States
Mobile applications are becoming increasingly popular. More and more people are using their phones to enjoy ubiquitous location-based services (LBS). The increasing popularity of LBS creates a fundamental problem: mob... 详细信息
来源: 评论
Interpreting the Latent Space of GANs via Measuring Decoupling
IEEE Transactions on Artificial Intelligence
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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
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Transform-invariant convolutional neural networks for image classification and search  24
Transform-invariant convolutional neural networks for image ...
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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
Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation
arXiv
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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
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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
Exploration of Image Search Results Quality Assessment
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IEEE Transactions on Big Data 2015年 第3期1卷 95-108页
作者: Tian, Xinmei Lu, Yijuan Stender, Nate Yang, Linjun Tao, Dacheng CAS Key Laboratory of Technology Geo-Spatial Information Processing and Application Systems University of Science and Technology of China Hefei230027 China Department of Computer Science Texas State University San MarcosTX78666 United States Department of Computer Science University of Nebraska-Lincoln LincolnNE68588 United States Microsoft Corporation RedmondWA98052-7329 United States Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology Sydney UltimoNSW2007 Australia
Image retrieval plays an increasingly important role in our daily lives. There are many factors which affect the quality of image search results, including chosen search algorithms, ranking functions, and indexing fea... 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...
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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
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DA-RefineNet: Dual-inputs Attention RefineNet for Whole Slide Image Segmentation
DA-RefineNet: Dual-inputs Attention RefineNet for Whole Slid...
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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...
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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