Matlab code of TOOLbox of camera calibration
標(biāo)簽： calibration TOOLbox Matlab camera
上傳時(shí)間： 2016-10-22
上傳用戶：924484786
Machine Vision TOOLbox for MATLAB (Release 2)澳大利亞機(jī)器視覺(jué)工具箱 第二版，內(nèi)含詳細(xì)說(shuō)明書。不過(guò)好像只在Linux下通過(guò)驗(yàn)證,Windows下運(yùn)行沒(méi)有驗(yàn)證過(guò)。
標(biāo)簽： Machine TOOLbox Release MATLAB
上傳時(shí)間： 2014-08-19
上傳用戶：stvnash
Simo Sä rkkä and Jouni Hartikainen的EKF/UKF Matlab TOOLbox提供了對(duì)EKF,UKF,擴(kuò)展UKF的全部算法的Matlab實(shí)現(xiàn)， 在此上傳的是TOOLbox的文檔說(shuō)明由于它具有可修改性，對(duì)使用matlab的人而言，實(shí)屬難得。
標(biāo)簽： Matlab UKF auml Hartikainen
上傳時(shí)間： 2016-10-26
上傳用戶：siguazgb
TOOLbox_dimreduc - a TOOLbox for dimension reduction methods This TOOLbox is an educational and recreative TOOLbox around recent ideas in the field of dimension reduction.
標(biāo)簽： TOOLbox TOOLbox_dimreduc educational dimension
上傳時(shí)間： 2013-12-15
上傳用戶：daoxiang126
This TOOLbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this TOOLbox
標(biāo)簽： i.e. re-implementations multi-instance different
上傳時(shí)間： 2013-12-19
上傳用戶：haohaoxuexi
Nonlinear Filtering TOOLbox
標(biāo)簽： Nonlinear Filtering TOOLbox
上傳時(shí)間： 2013-12-25
上傳用戶：gaojiao1999
高斯濾波器 matlab TOOLbox For GMMs and Gaussian kernels
標(biāo)簽： Gaussian kernels TOOLbox matlab
上傳時(shí)間： 2014-02-28
上傳用戶：1051290259
Matlab Financial Derivatives TOOLbox Users Guide 一本書還請(qǐng)笑納
標(biāo)簽： Derivatives Financial TOOLbox Matlab
上傳時(shí)間： 2016-11-15
上傳用戶：JasonC
Spacecraft Engineering TOOLbox，這個(gè)工具箱很不錯(cuò)的
標(biāo)簽： Engineering Spacecraft TOOLbox
上傳時(shí)間： 2016-11-17
上傳用戶：ayfeixiao
This TOOLbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.
標(biāo)簽： particularly designed teaching TOOLbox
上傳時(shí)間： 2016-11-25
上傳用戶：hustfanenze
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