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DOT-matrix

  • 模糊聚類算法FCM的JAVA源代碼。輸入data_in.txt和parameters.txt文件

    模糊聚類算法FCM的JAVA源代碼。輸入data_in.txt和parameters.txt文件,輸出center.txt和matrix.txt文件

    標(biāo)簽: parameters txt data_in JAVA

    上傳時(shí)間: 2013-12-01

    上傳用戶:xcy122677

  • 圖的深度優(yōu)先遍歷和廣度優(yōu)先遍歷

    圖的深度優(yōu)先遍歷和廣度優(yōu)先遍歷,以鄰接矩陣方式輸入。(按照提示輸入)! - The chart depth first spreads the calendar and the breadth first spreads the calendar, is next the matrix way input. (According

    標(biāo)簽:

    上傳時(shí)間: 2014-01-27

    上傳用戶:徐孺

  • This paper introduces an affine invariant of trapezia, and the explicit constraint equation between

    This paper introduces an affine invariant of trapezia, and the explicit constraint equation between the intrinsic matrix of a camera and the similarity invariants of a trapezium are established using the affine invariant. By this constraint, the inner parameters, motion parameters of the cameras and the similarity invariants of trapezia can be linearly determined using some prior knowledge on the cameras or the trapezia. The proposed algorithms have wide applicability since parallel lines are not rare in many scenes. Experimental results validate the proposed approaches. This work presents a unifying framework based on the parallelism constraint, and the previous methods based on the parallelograms or the parallelepipeds can be integrated into this framework. Key words: invariant parallelism constraint camera calibration 3D reconstruction

    標(biāo)簽: introduces constraint invariant explicit

    上傳時(shí)間: 2014-01-16

    上傳用戶:6546544

  • 第1章 TURBO PASCAL高級(jí)編程技術(shù) 1.1 單元及其使用 1.2 與匯編語(yǔ)言混合編程 1.3 與C語(yǔ)言混合編程 1.4 過程類型及其使用 1.5 中斷例程的編寫方法

    第1章 TURBO PASCAL高級(jí)編程技術(shù) 1.1 單元及其使用 1.2 與匯編語(yǔ)言混合編程 1.3 與C語(yǔ)言混合編程 1.4 過程類型及其使用 1.5 中斷例程的編寫方法 1.6 動(dòng)態(tài)數(shù)組及其使用 1.7 擴(kuò)充內(nèi)存(EMS)及其使用 1.8 擴(kuò)展內(nèi)存(XMS)及其使用 1.9 程序的標(biāo)準(zhǔn)數(shù)據(jù)作代碼處理的方法 第2章 實(shí)用工具單元 2.1 屏幕輸入與輸出單元ACRT 2.2 字符串處理單元ASTR 2.3 磁盤操作單元DISK 2.4 熱鍵單元POPUP 2.5 數(shù)據(jù)庫(kù)交互單元DBASE 2.6 擴(kuò)充內(nèi)存單元EMS 2.7 擴(kuò)展內(nèi)存單元XMS 2.8 數(shù)學(xué)函數(shù)單元MATH 2.9 矩陣運(yùn)算單元MATRIX 2.10 概率分布函數(shù)單元PROB 2.11 復(fù)數(shù)運(yùn)算單元COMPLEX 第3章 實(shí)用程序 3.1 軟鎖驅(qū)動(dòng)器程序 3.2 鎖硬盤邏輯盤程序 3.3 稿紙打印程序 3.4 源程序列表程序 3.5 查找并替換程序 3.6 備份硬盤主引導(dǎo)扇區(qū)程序 3.7 四通-PC文本文件轉(zhuǎn)換程序 3.8 SPT文件與BMP文件的雙向轉(zhuǎn)換程序 3.9 數(shù)據(jù)庫(kù)卡片打印程序 3.10 BATCH文件轉(zhuǎn)換為COM文件程序 3.11 機(jī)密文件的有效銷毀程序 3.12 釋放內(nèi)存程序 附錄1 源程序文件索引表 附錄2 各種顯示卡及其顯示模態(tài)表

    標(biāo)簽: PASCAL TURBO 1.1 1.2

    上傳時(shí)間: 2015-11-16

    上傳用戶:dengzb84

  • VB 2005環(huán)境編寫的打印程序

    VB 2005環(huán)境編寫的打印程序,程序引至Visual.Basic.2005.with.dot.NET.3.0.Programmers.Reference

    標(biāo)簽: 2005 VB 環(huán)境 打印

    上傳時(shí)間: 2014-01-14

    上傳用戶:hanli8870

  • ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors

    ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information

    標(biāo)簽: points the minimize respect

    上傳時(shí)間: 2014-01-02

    上傳用戶:gyq

  • #if !defined(AFX_GAQUEEN_H__C26AE0A3_F9B4_426F_A324_B460CC7946CB__INCLUDED_) #define AFX_GAQUEEN_H_

    #if !defined(AFX_GAQUEEN_H__C26AE0A3_F9B4_426F_A324_B460CC7946CB__INCLUDED_) #define AFX_GAQUEEN_H__C26AE0A3_F9B4_426F_A324_B460CC7946CB__INCLUDED_ #if _MSC_VER > 1000 #pragma once #endif // _MSC_VER > 1000 class CGAQueen { public: CGAQueen(int nPopulation,int nIteration,float Mutation,int mChBoard) virtual ~CGAQueen() void Clear() // to clear chess board with 0 value void InitialPopulation() // to create the first and initial randompopulation void FillArea(int index) // to fill chess board with desired chromosome int CostFunc(int index) // determine the cost of matrix[index][index] void PopulationSort() // to sort population from the best to the worst void GenerateCrossOverMatrix() // a way to create children from parent is CcrossOver void Mating() // to create children from parents void Ap

    標(biāo)簽: AFX_GAQUEEN_H INCLUDED defined define

    上傳時(shí)間: 2015-12-27

    上傳用戶:wuyuying

  • This a translation of the ToyFDTD c code available from the web site http://www.borg.umn.edu/toyfdt

    This a translation of the ToyFDTD c code available from the web site http://www.borg.umn.edu/toyfdtd/ToyFDTD1.html This some optimization to use MATLAB matrix notation. Others may find a way to further optimize the nested loops.

    標(biāo)簽: translation available the ToyFDTD

    上傳時(shí)間: 2013-12-07

    上傳用戶:daoxiang126

  • Solving Engineering Problems Using MATLAB C++ Math Library Introduction In the previous article, we

    Solving Engineering Problems Using MATLAB C++ Math Library Introduction In the previous article, we studied how can use MATLAB C API to solve engineering problems. In this article I will show you how can use MATLAB C++ math library. The MATLAB® C++ Math Library serves two separate constituencies: MATLAB programmers seeking more speed or complete independence from interpreted MATLAB, and C++ programmers who need a fast, easy-to-use matrix math library. To each, it offers distinct advantages.

    標(biāo)簽: Introduction Engineering Problems previous

    上傳時(shí)間: 2014-12-02

    上傳用戶:13160677563

  • PCA and PLS aims:to get some insight into the bilinear factor models Principal Component Analysis

    PCA and PLS aims:to get some insight into the bilinear factor models Principal Component Analysis (PCA) and Partial Least Squares (PLS) regression, focusing on the mathematics and numerical aspects rather than how s and why s of data analysis practice. For the latter part it is assumed (but not absolutely necessary) that the reader is already familiar with these methods. It also assumes you have had some preliminary experience with linear/matrix algebra.

    標(biāo)簽: Component Principal Analysis bilinear

    上傳時(shí)間: 2016-02-07

    上傳用戶:zuozuo1215

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