搜索资源列表
HaarTraining
- Rapid Object Detection With A Cascade of Boosted Classifiers Based on Haar-like Features-Rapid Object Detection With A Cascade of Bo osted Classifiers Based on Haar - like Features
Adaboost1
- This sourse is for face detection in the image and it is writed by VC. Here we use the adaboost for the main mathed In the mathed it use five features classifiers!
facedet
- 人脸检测算法对Haar特征推进，我们已经改善了大幅利用作为弱分类器的阈值中的累积概率分布点。-A face detector based on VJ algorithm (Boosting on HAAR features). We have improved the performance drastically by using mid cumulative probability distribution point as threshold for weak classifiers.
Haar_classfy_target
- 利用Haar分类器寻找检测目标，进行跟踪-The use of Haar classifiers to find the target detection, tracking
CRL-2001-1
- 这片论文描述了动态物体的特征跟踪，用到了15个框架。拥有很强的适应性和跟踪能力。作为人脸识别，模式识别，动态跟踪的开发人员，有很好的参考价值。用c++编写，如果用OpenCV更好-This paper describes a visual object detection framework that is capable of processing images extremely rapidly while achieving high detection rates. There ar
Matlab_SVM
- SVM实现数据分类，可自行选取核函数，用于图像分割操作。程序可自动训练分类平面。-SVM for data classification, are free to select the kernel function，For image segmentation operation. The program can automatically train classifiers plane.
Discriminativemodelsformulticlasobject
- Many state-of-the-art approaches for object recognition reduce the problem to a 0-1 classifi cation task. Such re- ductions allow one to leverage sophisticated classifi ers for learning. These models are typically trained independentl
opencvhaarchepaidingwei
- 利用opencv，采用Adaboost算法训练分类器，将训练好的分类器用于车牌定位。-Using opencv, Adaboost algorithm training classifiers, trained classifier for license plate location.
12341
- 最近邻分类器，采用matalb来进行k最近邻分类的方法，应用于模式识别。-Nearest neighbor classifiers using matalb for k nearest neighbor classification methods used in pattern recognition.
jsgd-61
- 该代码采用matlab和C混合编写，是采用随机梯度的方法训练线性分类器，它可用于数据、图像等的多类分类情况。参考论文：Good Practice in Large-Scale Learning for Image Classification-This a Stochastic Gradient Descent algorithm used to train linear multiclass classifiers. It is biased towards large classificat
CSL_adaboostV2
- ADABOOST的源码，为了方便大家理解，我修改了原文中的弱分类器最优阈值寻找的部分代码。-ADABOOST the source, in order to facilitate understanding, I modified the text of the weak classifiers optimal threshold looking for some code.
Adaboost
- adaboost算法，针对图像处理，训练强弱分类器 分类器-adaboost algorithm for image processing, strength training classifiers Classifier
Classifier
- 几种分类器，包括adaboost和随机森林-Several classifiers including adaboost and random forest
3-dimensions-adaboost
- 将弱分类器连接成强分类器算法，这里的创新点是可以用在三维数据上，适合初学者研究其编写过程。-The weak classifiers into strong classifier, where innovation can be used on a three dimensional data, prepared for beginners to study the process.
paper2
- A new approach to intrusion detection based on an evolutionary soft computing model using neuro-fuzzy classifiers
ML-and-one-homeWork
- 一个关于简单测试使用分类器的程序，可以直接输入图片运行产生结果-A simple test program on the use of classifiers
test
- 一个简单的人脸识别系统，使用了pca主成分分析，并且使用了余弦距离分类器分类，查看分类的效果-A simple face recognition system, using pca principal component analysis, and the use of the cosine distance classifiers to view classification results
ManifoldLearn
- 流形学习工具箱 ML_OPTIONS - Generate/alter options structure for training classifiers ML_TRAIN Trains a classifier with some options using some method ML_TEST Uses a classifier to classify data in X SAVECLASSIFIER Generates a classifier structu