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Description: 常用于测绘控制网和变形监测，秩亏自由网平差，分别可以进行普通秩亏自由网平差，拟稳平差-Ordinary rank defect free network adjustment commonly used in surveying and mapping control network and deformation monitoring, rank defect free network adjustment, respectively, to be stable adjustment
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Size: 91136 |
Author: 俞礼彬 |
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Description: 全国计算机等级考试三级C语言程序设计上机考试习题集（2004年版）-National Computer Rank Examination three C programming language examination on Problem Set (2004 Edition)
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Size: 53248 |
Author: 乙烯项目 |
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Description: 美国大学EE专业排名，对大家申请选校有哦所参考-the rank for universities in America on Electronical engnering
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Size: 7168 |
Author: 匿名 |
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Description: 多流域的Rank Histogram 的matlab程序-Rank Histogram， Matalb
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Size: 1024 |
Author: 徐静 |
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Description: ofdma rank co ordination
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Size: 2048 |
Author: prasanna |
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Description: 研究无线信道优化问题, 由于非确定性 M MIO系统的信道矩阵行不满秩特性, 导致 MM SE- GDFE左预处理后引入了强干扰, 使得传统 K- Best算法产生了误码平层效应。为了消除误码平层效应,提出部分最大似然和 K - Best结合算法, 并在初始检测的强干扰区域利用部分最大似然算法获得局部最优解, 降低强干扰对系统的影响消除误码平层效应, 进而在局部最优解的基础上利用 K- Best算法完成剩余符号的检测, 保证 M MIO 检测器的软输出特性。仿真结果表明算法消除了传统 K- Best算法中的误码平层效应, 保证了检测的可靠性-Research on wireless channel optimization problem, since non-deterministic channel matrix rows dissatisfaction rank M MIO system characteristics, resulting in MM SE-GDFE left after pretreatment introduced strong interference, the traditional K-Best algorithm to generate the error floor effect. To eliminate the error floor effect, made part of the maximum likelihood and K- Best combination of algorithms and strong interference detection using part of the initial area of the maximum likelihood algorithm to obtain local optima and reduce the impact of strong interference elimination system error leveling effect, and then use K-Best detection algorithm to complete the remaining symbols on the basis of the local optimal solution to ensure that M MIO soft detector output characteristics. Simulation results show that the algorithm eliminates the error floor effect of traditional K-Best algorithm to ensure the reliability of detection
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Size: 491520 |
Author: 杨佳琳 |
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Description: 全国计算机等级上机考试题库二级c语言,适用于初学者-National Computer Rank the machine language exam two c
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Size: 9289728 |
Author: 李先生 |
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Description: 一种新的稀疏矩阵，低秩矩阵的处理方法,推荐一下-A new sparse matrix, a low rank matrix approach, recommend
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Size: 500736 |
Author: citronnelle |
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Description: web rank webpage rank using different categories and terms occured more time in webpage
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Size: 3228672 |
Author: ibsh |
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Description: Low-rank optimization for distance matrix completion
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Size: 183296 |
Author: M.Hasani |
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Description: 2015软件工程师考试大纲，考试内容及详细的考点。-2015software engineer test rank
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Size: 7168 |
Author: lemon |
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Description: learn to rank 相关算法的文档介绍-learn to rank
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Size: 4103168 |
Author: 李伟 |
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Description: 使用java程序实现一个简单的运动员成绩排名系统
分成Grade.java和GradeRank.java-come a simple athlete grade rank system
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Size: 2048 |
Author: liqiang |
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Description: 一个简单的基于java 的学生的多门成绩按照平均分来进行排名的java程序
-A simple java program can according to student s average grade to rank
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Size: 1024 |
Author: liqiang |
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Description: A spatial preference query ranks objects based on the qualities of features in their spatial neighborhood. For example, using a real estate agency of flats for lease, a customer may want to rank the flats with respect to the appropriateness of their location, defined after aggregating the qualities of other features (e.g., restaurants, cafes, hospital, market, etc.) -A spatial preference query ranks objects based on the qualities of features in their spatial neighborhood. For example, using a real estate agency of flats for lease, a customer may want to rank the flats with respect to the appropriateness of their location, defined after aggregating the qualities of other features (e.g., restaurants, cafes, hospital, market, etc.)
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Size: 12845056 |
Author: sriram |
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Description: Spearman rank correlation
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Size: 1024 |
Author: richardfajardo |
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Description: 可实现闭式解低秩子空间聚类，该程序特点：收敛速度较快，但是有多个参数需要调整。参考文献：Rene Vidal, Paolo Favaro. Low rank subspace clustering (LRSC) [J]. Pattern Recognition Letters, 2014, 43: 47-61.-This program can realize closed-form low rank subspace clustering. The characteristic of the program: the convergence speed is fast while there are many parameters needed to be adjusted. Reference: Rene Vidal, Paolo Favaro. Low rank subspace clustering (LRSC) [J]. Pattern Recognition Letters, 2014, 43: 47-61.
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Size: 10240 |
Author: 宋昱 |
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Description: 2017 TGRS 最新去噪文章
Image Denoising Using Local Low-Rank-2017 TGRS Latest articles Denoising
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Size: 4925440 |
Author: degawong |
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Description: 程序为威尔逊秩和检验程序，用于进行秩和检验计算的人员参考使用。-The procedure for the Wilson rank sum test procedure is used by the personnel for the rank sum test calculation.
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Size: 2048 |
Author: 宋林 |
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Description: 用于低秩矩阵分解方面的内容，有很好的降秩功能。(Law rank matrix decomposition)
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Size: 2048 |
Author: 李胖蛋
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