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SYSTEM AND METHOD FOR SIGNATURE EXTRACTION USING MUTUAL INTERDEPENDENCE ANALYSIS

机译:基于相互依赖分析的签名提取系统和方法

摘要

A method for determining a signature vector of a high dimensional dataset includes initializing a mutual interdependence vector wGMIA from a a set X of N input vectors of dimension D, where N≦D, randomly selecting a subset S of n vectors from set X, where n is such that n1 and nN, calculating an updated mutual interdependence vector wGMIA from; w GMIA new =w GMIA +S·(ST·S+βI)−1·( 1MT·wGMIA),;where β is a regularization parameter,; <math overflow="scroll"><mrow><mrow><msub><mi>M</mi><mi>ij</mi></msub><mo>=</mo><mfrac><msub><mi>S</mi><mi>ij</mi></msub><msqrt><mrow><munder><mo>∑</mo><mi>k</mi></munder><mo></mo><msubsup><mi>S</mi><mrow><mi>kj</mi><mo></mo><mstyle><mspace width="0.3em" height="0.3ex" /></mstyle></mrow><mn>2</mn></msubsup></mrow></msqrt></mfrac></mrow><mo>,</mo></mrow></math> ;I is an identity matrix, and 1 is a vector of ones, and repeating the steps of randomly selecting a subset S from set X, and calculating an updated mutual interdependence vector until convergence, where the mutual interdependence vector is approximately equally correlated with all input vectors X.
机译:一种用于确定高维数据集的签名向量的方法,包括从维度D的N个输入向量的集合X中初始化相互依赖向量w GMIA ,其中N≤D,随机选择向量的子集S来自集合X的n个向量,其中n使得n 1和n GMIA ; <?in-line-formulae description =“在线公式” end =“线索”?> w GMIA <子> = w GMIA + S ·( S T ·S +βI -1 ·( 1 - M T ·w GMIA ),< ?in-line-formulae description =“ In-line Formulae” end =“ tail”?>;其中β是正则化参数, <![CDATA [<数学溢出=“ scroll”> M ij = < / mo> S ij k S kj < mspace width =“ 0.3em” height =“ 0.3ex” /> 2 ]]> ; I是一个单位矩阵, 1 是1的向量,并重复以下步骤:从集合X中随机选择子集S,然后计算更新的互相关向量,直到收敛,其中相互依赖向量与所有输入向量X近似相等地相关。

著录项

  • 公开/公告号US2010316293A1

    专利类型

  • 公开/公告日2010-12-16

    原文格式PDF

  • 申请/专利权人 HEIKO CLAUSSEN;JUSTINIAN ROSCA;

    申请/专利号US20090614625

  • 发明设计人 JUSTINIAN ROSCA;HEIKO CLAUSSEN;

    申请日2009-11-09

  • 分类号G06T7/00;

  • 国家 US

  • 入库时间 2022-08-21 18:14:49

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