-
StructureandMotionPipline
The images are organized into a tree with agglomerative clustering, using a measure of overlap as the distance. The reconstruction then follows this tree from the leaves to the root. As a result, the problems is broken into smaller instances, which are then separately solved and combined. Compared to the standard sequential approach, this pipeline boost computational efficiency by one order of magnitude, it is independent from the initial pair of views, and copes better with drift problems
- 2010-11-28 16:35:21下载
- 积分:1
-
MATLAB_gaDemo1Eeval
matlab 下的遗传算法源码,可以应用到大部分情况的全局寻优。(By using matlab ,I have provided a genetic algorithm source code, which can be applied to most cases of global optimization.)
- 2013-07-31 09:11:32下载
- 积分:1
-
freadenvistandard
matlab实现的读取envi标准格式的代码,对于搞遥感的人来说,很有用(read envi standard file)
- 2014-11-15 21:04:14下载
- 积分:1
-
Simon-Haykin
国外自适应滤波器经典教材ppt,课后习题答案,课程部分代码(Foreign adaptive filter classic textbook ppt, answers to the questions, the course of the code)
- 2013-12-31 10:51:13下载
- 积分:1
-
OCR
optical character recognition is used to convert images of any paper into soft copies
- 2013-10-06 00:56:34下载
- 积分:1
-
cljscx
说明: 一个简单的潮流计算程序,计算其电压电流功率等数据(Simple Answer to Power Flow Computing Program)
- 2019-04-08 18:51:58下载
- 积分:1
-
lorenz-2
a=10,b=8/3,c=28.选择不同的初值,仿真Lorenz系统的吸引子。(a = 10, b = 8/3, c = 28. choose different initial simulation of the Lorenz system attractor.)
- 2013-03-27 21:14:22下载
- 积分:1
-
GlobalAndNon-smoothOptimizationToolbox
非线性规划Matlab工具箱,比较全面,希望有用。(Matlab Toolbox for Nonlinear Programming, more comprehensive, I hope helpful.)
- 2010-08-19 05:46:57下载
- 积分:1
-
keep
keep useful variables in the matlab workspace
- 2013-05-10 05:56:57下载
- 积分:1
-
拉丁超立方 (2)
说明: 假如数据中有N 个变量,而我们想抽取的样本的数量是M,那么在对数据进行抽样的时候,这种方法首先会把N个变量的设计空间均匀的划分开为M份,然后在每个划分好的区域中随机的抽取一点,最后,从这M个变量里,随机挑选之前选好的点,构成我们的样本(If there are n variables in the data, and the number of samples we want to extract is m, then when sampling the data, this method will first divide the design space of n variables into M parts evenly, and then randomly extract a point in each divided area. Finally, from the m variables, randomly select the previously selected points to form our sample)
- 2021-04-07 19:47:52下载
- 积分:1