#DIMENSIONALITY

ORA-54621: TO_GEOMETRY: TOTAL_DIMENSIONALITY not same as in INIT operation

文档解释ORA-54621:TO_GEOMETRY:TOTAL_DIMENSIONALITYnotsameasinINIToperationCause:ThespecifiedTOTAL_DIMENSIONALITYwasinvalid.Action:EnsurethattheTOTAL_DIMENSIONALITYm...

ORA-54653: CREATE_TIN: specified total dimensionality cannot exceed 8

文档解释ORA-54653:CREATE_TIN:specifiedtotaldimensionalitycannotexceed8Cause:ThespecifiedtotaldimensionalityfortheTINexceededthemaximumlimitof8.Action:CreatetheTINwi...

ORA-13239: sdo_dimensionality not specified during n-d R-tree creation

文档解释ORA-13239:sdo_dimensionalitynotspecifiedduringn-dR-treecreationCause:AnerroroccurredinreadingthedimensionalityparameterAction:Checkthedocumentationforavalid...

ORA-13364: layer dimensionality does not match geometry dimensions

文档解释ORA-13364:layerdimensionalitydoesnotmatchgeometrydimensionsCause:Thespatiallayerhasageometrywithadifferentdimensionsthanthedimensionsspecifiedforthelayer.Ac...

【神经网络】Reducing the Dimensionality of Data with Neural Networks

      用神经网络来降维、之前降维用的方法是主成分分析法PCA,找到数据集中最大方差方向。(附:降维有助于分类、可视化、交流和高维信号的存储)这篇paper提出了一种非线性的PCA 的推广,通过一个小的中间层来重构高维输入向量,训练一个多层神经网...

【Deep Learning】Hinton. Reducing the Dimensionality of Data with Neural Networks Reading Note

  2006年,机器学习泰斗、多伦多大学计算机系教授GeofferyHinton在Science发表文章,提出基于深度信念网络(DeepBeliefNetworks,DBN)可使用非监督的逐层贪心训练算法,为训练深度神经网络带来了希望。如果说Hinton2006年发表在《Science》杂志上的论文[1]只是在学术界掀...