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Eye_Location_MATLAB
人眼定位的Matlab代码实现,自带简单的测试图片。(Eye location of Matlab code, comes with a simple test images.)
- 2015-01-06 21:18:54下载
- 积分:1
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KLMS
此文件是Weifeng Liu等编著《Kernel Adaptive Filtering A Comprehensive Introduction》一书的源代码。对应书上每一章节。是学习Kernel adaptive filter的不二选择。(This document is the source code of Liu Weifeng, a compiled book book that corresponds to each chapter. Learning kernel adaptive filter of choice.)
- 2016-05-06 20:26:39下载
- 积分:1
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humanactionrecoginze
运动人体行为分析的资料,利用因马尔科夫模型和支持向量基做的(Human Movement behavior analysis data by using support vector-based model and HMM)
- 2010-12-09 17:34:19下载
- 积分:1
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lanczos_full_reorth1
Lanczos algorithm for tridiagunalization of a matrix.
- 2011-06-02 16:31:21下载
- 积分:1
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AO_Interrupt
关于短路仿真的一些源程序同时是有关多目标优化的源程序(Some source of short-circuit emulation is also the source for multi-objective optimization)
- 2011-11-28 10:50:00下载
- 积分:1
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otdr_practicum
optical loss measurements
- 2012-04-26 08:42:26下载
- 积分:1
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The-rod-group-analysis-subroutine
源代码中是三个子程序,分别为R,RRR,RRP,用于分析机构的各部分的速度,加速度,坐标。R用于分析原动杆,RRR用于分析双杆组构件,RRP用于分析两转动副一滑动副的双杆组。分析一个具体机构时可先将机构拆成原动杆和各杆组,然后调用这三个子程序来计算。(Source code of three subroutines, namely R, RRR, RRP, for the analysis of body parts of the velocity, acceleration, coordinates. R for the analysis of the original rod, RRR for the analysis of double-pole group member, RRP for the analysis of two revolute a sliding two-bar group vice. Analysis of a sector specific institutions can be split into the original first rod and the bar group, and then call subroutine to calculate the three.)
- 2011-10-09 22:22:44下载
- 积分:1
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matlab-help
关于matlab帮助命令的中文文档,很有用的(Matlab help command on the Chinese document, very useful)
- 2011-11-01 11:18:14下载
- 积分:1
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Advanced mathematics(3)
1.常微分方程
2.积分变换
3.多元函数微分(1. Ordinary differential equation
2. Integral transformation
3. Multivariate Function Differentiation)
- 2019-01-11 16:08:21下载
- 积分:1
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code
独立主成分分析与主成分分析代码,速度比较快,而且比较好用(In these first experiments, both ICA and whitened PCA are used to compress the data, and all the components are used for classifying the examples. The classifier used is a 1-NN with Euclidean distance. The results shown in next sections are clear: when a rotational invariant classifier is used (as 1-NN with L2-norm) the classification results of FastICA/whitened PCA are equivalent, while the difference between Infomax and whitened data es significant but small)
- 2012-05-16 14:04:59下载
- 积分:1