机构

• 长春光学精密机械与物... [5]
• 地理科学与资源研究所 [4]
• 计算技术研究所 [1]
• 自动化研究所 [1]
• 生态环境研究中心 [1]

采集方式

• OAI收割 [12]

内容类型

• 期刊论文 [7]
• 会议论文 [5]

发表日期

• 2021 [1]
• 2020 [1]
• 2019 [4]
• 2012 [1]
• 2011 [2]
• 2010 [1]
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学科主题

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浏览/检索结果: 共12条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Zero-Shot Embedding via Regularization-Based Recollection and Residual Familiarity Processes 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 18 作者:  Lyu, Mengyao;  Han, Hu;  Bai, Xiangzhi   |  收藏  |  浏览/下载：18/0  |  提交时间：2022/06/21 Embedding-based method  image classification  knowledge transfer  zero-shot learning (ZSL)   CNQ: Compressor-Based Non-uniform Quantization of Deep Neural NetworksInspec keywordsOther keywordsKey words 期刊论文  OAI收割 CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1126-1133 作者:  Yuan, Yong;  Chen, Chen;  Hu, Xiyuan;  Peng, Silong   |  收藏  |  浏览/下载：78/0  |  提交时间：2021/03/08 entropy  image classification  learning (artificial intelligence)  neural nets  object detection  optimisation  quantisation (signal)  network structure  DNN  low-bit quantization  time-consuming training  compressor-based fast nonuniform quantization method  quantization model  post-training quantization methods  deep neural networks  network quantization  compressor-based nonuniform quantization  CNQ  Non-uniform quantization  Knowledge distillation  Unlabeled samples  Network compression   A knowledge-based method for the automatic determination of hydrological model structures 期刊论文  OAI收割 JOURNAL OF HYDROINFORMATICS, 2019, 卷号: 21, 期号: 6, 页码: 1163-1178 作者:  Jiang, Jingchao;  Zhu, A-Xing;  Qin, Cheng-Zhi;  Liu, Junzhi   |  收藏  |  浏览/下载：26/0  |  提交时间：2020/05/19 hydrological modelling  integrated modelling frameworks  knowledge-based method  modelling knowledge   A knowledge-based method for the automatic determination of hydrological model structures 期刊论文  OAI收割 JOURNAL OF HYDROINFORMATICS, 2019, 卷号: 21, 期号: 6, 页码: 1163-1178 作者:  Jiang, Jingchao;  Zhu, A-Xing;  Qin, Cheng-Zhi;  Liu, Junzhi   |  收藏  |  浏览/下载：17/0  |  提交时间：2020/05/19 hydrological modelling  integrated modelling frameworks  knowledge-based method  modelling knowledge   Semantic relatedness algorithm for keyword sets of geographic metadata 期刊论文  OAI收割 CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE, 2019, 页码: 16 作者:  Chen, Zugang;  Yang, Yaping   |  收藏  |  浏览/下载：64/0  |  提交时间：2020/03/23 Geographic metadata  keyword sets  semantic relatedness  knowledge-based method  linked geospatial data   Semantic relatedness algorithm for keyword sets of geographic metadata 期刊论文  OAI收割 CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE, 2019, 页码: 16 作者:  Chen, Zugang;  Yang, Yaping   |  收藏  |  浏览/下载：26/0  |  提交时间：2020/03/23 Geographic metadata  keyword sets  semantic relatedness  knowledge-based method  linked geospatial data   Method of tacit knowledge discovery based on domain knowledge under driven of problems (EI CONFERENCE) 会议论文  OAI收割 2012 International Conference on Computer Science and Information Processing, CSIP 2012, August 24, 2012 - August 26, 2012, Xi'an, Shaanxi, China 作者:  Wang Y.-C.;  Wang Y.-C. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 Now most of the knowledge discoveries are using the data mining technology and driven by data. This kind of knowledge discovery can't finish the discovery  exploration and applying of the tacit knowledge. According to the problem above  this paper proposes a domain knowledge-based of problem driven tacit knowledge discovery method. This paper designs a S-K-T algorithm and the related problem-knowledge mining algorithm to get the domain knowledge semantic tree and the problem-domain knowledge tree  and based on this through the spiral iteration to finish the discovery of the tacit knowledge under the driven of problems. 2012 IEEE.   TextureGrow: Object recognition and segmentation with limit prior knowledge (EI CONFERENCE) 会议论文  OAI收割 2011 International Conference on Network Computing and Information Security, NCIS 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China Yao Z.; Han Q. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 In this paper we present a new method for automatically visual recognition and semantic segmentation of photographs. Our automatically and rapidly approach based on Cellular Automation. Most of the analysis and description of recognition and segmentation are based on statistical or structural properties of this attribute  most of them need plenty of samples and prior Knowledge. In this paper  within a few evident samples (not too many)  we can first get the texture feature of each component and the structures  then select the approximately location randomly of the objects or patches of them  then we use the Cellular Automata algorithm to "grow" based on texture of different objects. The grow progress will stop When texture grow to the boundary. By this steps a new method is found which allow us use very few samples and low lever experience and get a rapidly and accuracy way to recognize and segment objects. We found that this new propose gives competitive results with limited experience and samples. 2011 IEEE.   Inverse control of cable-driven parallel system based on type-2 fuzzy logic and multi-source knowledge (EI CONFERENCE) 会议论文  OAI收割 International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China 作者:  Li C.;  Li C.;  Li C. 收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25 In this paper  we realize the control of cable-driven parallel system via a type-2 fuzzy inverse control method based on its multi-source knowledge which includes heuristics  prior knowledge and data information. A fuzzy inverse controller is interval type-2 fuzzy NARX model which is identified via the multi-source knowledge. Experiment results show the control method is practical and excellent.   Restoration of an atmospherically blurred image based on physical model fusion approach (EI CONFERENCE) 会议论文  OAI收割 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China 作者:  Wang Y.;  Li J.;  Li J.;  Li J.;  Wang Y. 收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25 This paper proposes a new restoration method  only using the single image information  combining atmospheric physical model with fusion techniques to reduce the degradation of the image contrast in bad weather conditions caused by atmospheric aerosols  such as haze and fog. The basic idea of this method is to utilize physics-based model method instead of multisensors to generate a serial of virtual images  and then to fuse those virtual images into a high contrast image based on the wavelet fusion technique. In contrast to previous methods  our restoration technique is not only independent on predicted structure  distributions of scene reflectance  or detailed knowledge about the particular weather condition  but also adapt to the situation without a reference image or images with moving objects captured by a video camera. Experiments on different poorcontrast images demonstrate the availability of the proposed method in case of restoring the atmospherically blurred images. 2010 IEEE.