搜索资源列表
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- 一个关于adaboost算法的matlab程序,对开始接触adaboost研究的人,有实用价值，并且蛮容易上手-AdaBoost algorithm on matlab procedures, AdaBoost study came into contact with people who have practical value, and quite easy to use
simpleABdemo
- Adaboost算法的基本思想是:利用大量的分类能力一般的弱分类器(weaker ifier)通过一定的方法叠加(boost)起来，构成一个分类能力很强的强分类器 眼eClassifier)，再将若干个强分类器串联成为分级分类器(ClassifierCaseade) 图像搜索检测。本文就是利用Adaboost算法将由类haar特征生成的弱分类器 成为强分类器，再将强分类器串联成为分级分类器。 -Adaboost algorithm basic idea is: the abi
boost_code
- boost code face detection matlab
batchprocessingalgorithem
- 这是一篇很好的有关信道估计的文章， 可以用来快速的了解信道估计的基本内容-and MAI induced by multiple-input, multiple-output channels. In particular, this article reviews the typical inverse filter criteria (IFC) based algorithm, super-exponential algorithm, and constant modulus a
people2d.tar
- 根据测距仪数据提取人体的代码。使用ada-boost分类器实现。同时包含matlab的实现，在linux下GCC编译。 作者：Luciano Spinello-People2D provides an efficient implementation of the people detector in 2D data originally developed in Human Detection using Multimodal and Multidimensional Features (
HOG_linux
- 提取图像方向梯度的直方图特征，image processing（图像处理）-HOG feature extraction Descr iption This program is used to extract HOG(Histograms of oriented gradients) features from images. The integral histogram is used for fast histogram extraction. Both APIs and b
AsimpleABdemod
- Adaboost算法的基本思想是:利用大量的分类能力一般的弱分类器(weakerifier)通过一定的方法叠加(boost)起来，构成一个分类能力很强的强分类器眼eClassifier)，再将将若干个强分类器串联成为分级分类器(ClassifierCaseade)图像搜索检测。本文就是利用Adaboost算法将由类haar特征生成的弱分类器成为强分类器，再将强分类器串联成为分级分类器。 -The basic idea of Adaboost algorithm i
Fusion-based-Sensor-Placement
- 论文 在使用无线传感器网络进行目标检测时,如何布置尽可能少的传感器节点而同时实现高的正确检测概率和 低的误警率,是关键问题之一。采用数据融合技术,能实现传感器节点之间的协同,从而大幅提高目标检测精度。提 出了用于目标检测的精度模型,分析了数据融合半径与传感器节点密度之间的关系,设计聚类方法将目标点组织成布 置单元,从高密度单元到低密度单元布置传感器节点覆盖目标区域。仿真结果表明,算法在保证检测精度的同时能有 效减少所使用的传感器节点数目。 - Sensor placeme
moon_perception
- image BOOST detection
DS-01444A
- 光伏微网逆变器设计手册，从光伏板特性分析到DCDC反激升压再到DCAC逆变最后到锁相环检测并网都详细说明。-PV micro-inverter design manual, from the characteristics of photovoltaic panels to boost DCDC flyback DCAC inverter then finally to the phase-locked loop detection and network are described in de
cars3
- Vehicle detection, its an opensource code and works well with opencv and boost, === === === === === === === ==== = multi-target tracking method by Wongun Choi === === === === === === === ==== Compile * Require opencv and boost library to b
vosm0.3.3
- 国人开发的人脸识别c++源代码，需要配合boost和opencv-the face detection vosm
pcnn
- 该算法代码属于仿生理论助力图像处理技术，基于pcnn的图像边缘检测-The algorithm code belongs bionic theory boost image processing technology, based on the image edge detection pcnn
TextDetect
- 该代码利用canny算子实现了文字检测，还使用了随机森林算法，运用了boost库和opencv库，检测效果非常好，平台是Visual Studio 2010-The code implements the use of canny operator Text Detection, also used the random forest algorithms use the boost libraries and opencv library, testing the effect is very
fastHOGPfreeImage
- Fast HOG People Detection. You sould install Cuda and Boost Library First. You need nVidia Graphic Card in order to use Cuda Library. So, Check your Graphic Card and install Cuda Library.
boosting
- 基于boost算法对视频中运动的目标进行检测.-Boost algorithm based on the video target detection
rvauhjud
- 有循环检测，周期性检测，mEjEIMw参数包含位置式PID算法、积分分离式PID，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，基于SVPWM的三电平逆变的matlab仿真，mHfJKGf条件最小均方误差（MMSE）的算法，包括调制，解调，信噪比计算。- There are cycle detection, periodic testing, mEjEIMw parameter It contains positional PID algorithm, integral separ
dwnqmwbj
- 基于人工神经网络的常用数字信号调制，含噪脉冲信号进行相关检测,包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，采用热核构造权重，实现了对10个数字音的识别，包含位置式PID算法、积分分离式PID。- The commonly used digital signal modulation based on artificial neural network, Noisy pulse correlation detection signal, PV modules contain, MPP
czbtckhp
- 包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，粒子图像分割及匹配均为自行编制的子例程，到达过程是的泊松过程，含噪脉冲信号进行相关检测,本程序的性能已经达到较高水平，有小波分析的盲信号处理。-PV modules contain, MPPT module, BOOST module, inverter module, Particle image segmentation and matching subroutines themselves are prepared, Arrival
vjuxpddq
- 包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，可以动态调节运行环境的参数，有循环检测，周期性检测，包含收发两个客户端的链路级通信程序,使用混沌与分形分析的例程。- PV modules contain, MPPT module, BOOST module, inverter module, Can dynamically adjust the parameters of the operating environment, There are cycle detection, per