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• OAI收割 [11]

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浏览/检索结果: 共11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发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 基于AGV的智能仓库系统订单分批问题研究 期刊论文  OAI收割 运筹与管理, 2020, 卷号: 29, 期号: 9, 页码: 1-9 作者:  李珍萍;  付红叶;  卜晓奇;  张国维;  吴凌云   |  收藏  |  浏览/下载：29/0  |  提交时间：2021/01/14 intelligent warehouse  AGV  order batching  integer programming model  weighted similarity  greedy algorithm  智能仓库  AGV  订单分批  整数规划模型  加权相似度  贪婪算法   Self-organizing weighted incremental probabilistic latent semantic analysis 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018, 卷号: 9, 期号: 12, 页码: 1987-1998 作者:  Li, Ning;  Shi, Zhongzhi;  He, Qing;  Zhuang, Fuzhen;  Yang, Kun   |  收藏  |  浏览/下载：42/0  |  提交时间：2019/08/16 Probabilistic latent semantic analysis  Weighted incremental learning  Similarity  Big data   Layered Multitask Tracker via Spatial-Temporal Laplacian Graph 期刊论文  OAI收割 IEEE SIGNAL PROCESSING LETTERS, 2017, 卷号: 24, 期号: 12, 页码: 1768-1772 作者:  Fan, Baojie;  Li, Xiaomao;  Cong, Yang   |  收藏  |  浏览/下载：14/0  |  提交时间：2021/02/02 Object tracking  reverse layered multitask learning  spatial-temporal Laplacian graphs  weighted similarity map   Self-weighted spectral clustering, with parameter-free constraint 期刊论文  OAI收割 neurocomputing, 2017, 卷号: 241, 页码: 164-170 作者:  Zhang, Rui;  Nie, Feiping;  Li, Xuelong 收藏  |  浏览/下载：34/0  |  提交时间：2017/05/25 Constrained spectral clustering  Parameter-free similarity  Quadratic weighted optimization   Layered Multitask Tracker via Spatial-Temporal Laplacian Graph 期刊论文  OAI收割 IEEE SIGNAL PROCESSING LETTERS, 2017, 卷号: 24, 期号: 12, 页码: 1768-1772 作者:  Li XM(李小毛);  Cong Y(丛杨);  Fan BJ(范保杰)   |  收藏  |  浏览/下载：23/0  |  提交时间：2018/01/06 Object tracking  reverse layered multitask learning  spatial-temporal Laplacian graphs  weighted similarity map   Postreconstruction filtering of 3D PET images by using weighted higher-order singular value decomposition 期刊论文  OAI收割 BIOMEDICAL ENGINEERING ONLINE, 2016, 卷号: 15, 期号: 1, 页码: - 作者:  Liu, Hongbo;  Wang, Kun;  Tian, Jie   |  收藏  |  浏览/下载：26/0  |  提交时间：2016/10/20 Positron Emission Tomography (Pet)  Higher-order Singular Value Decomposition (Hosvd)  Anscombe Variance-stabilizing Transform (Avst)  Similarity  Weighted  Denoising   Scale-dependent effect of biotic interactions and environmental conditions in community assembly: insight from a large temperate forest plot 期刊论文  OAI收割 PLANT ECOLOGY, 2016, 期号: 8, 页码: 1003-1014 作者:  Yuan, Zuoqiang;  Gazol, Antonio;  Lin, Fei;  Wang, Xugao;  Ye, Ji 收藏  |  浏览/下载：24/0  |  提交时间：2016/12/05 Coexistence  Limiting similarity  Functional trait  Tree maximum height  Null model  Rao  Community-weighted mean   Modified Nonparametric Weighted Feature Extraction Algorithm SCI/SSCI论文  OAI收割 2015 作者:  Cui L. L.;  Li, G. S.;  Ren, H. R.;  He, L.;  Liao, H. J. 收藏  |  浏览/下载：34/0  |  提交时间：2015/12/09 Spectral pan-similarity measure (SPM)  Euclidean distance (ED)  Nonparametric weighted spectral pan-similarity measure feature  extraction (NWSPMFE)  Nonparametric weighted feature extraction (NWFE)  thematic classification accuracy   Weighted Similarity-Invariant Linear Algorithm for Camera Calibration With Rotating 1-D Objects 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 卷号: 21, 期号: 8, 页码: 3806-3812 作者:  Shi, Kunfeng;  Dong, Qiulei;  Wu, Fuchao 收藏  |  浏览/下载：31/0  |  提交时间：2015/08/12 1-D calibration object  camera calibration  weighted similarity-invariant linear algorithm (WSILA)   Computer simulation research on cognitive mechanism of human vision (EI CONFERENCE) 会议论文  OAI收割 International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010, March 13, 2010 - March 14, 2010, Changsha, China Ke H.; You W. 收藏  |  浏览/下载：41/0  |  提交时间：2013/03/25 The development of intelligent system which accorded with human cognitive mechanism will exert a profound influence on national defense  economy  education  culture and etc. A computer simulation method according with cognitive mechanism of human vision was proposed on the basis of Structural Decomposition Theory. Many basic shape feature information tables of similar object from different side can determine a kind of object uniquely. System weighted basic shape features in two different information tables by membership degree and then calculated similarity. The identifying object which had the maximum similarity with it in system was what we needed. The system used 83 pictures of 6 kinds of objects with different side for training and testing. The experiment results demonstrated  task of basic shape extraction  object recognition and others can be completed effectively with the method in paper. The method in paper can be a new attempt on computer simulation method according with cognitive mechanism of human vision from cognitive field. 2010 Crown Copyright.