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OpenCV_ObjectDetection_HowTo
- How-to build a cascade of boosted classifiers based on Haar-like features
multi-classSVM
- 总结SVM多分类的文章，从训练时间、分类时间、分类器的个数等等入手进行对比-Summary SVM multi-classification of articles, from the training time, classification time, the number of classifiers, and so begin to compare
cap-3
- pattern recognition.this ebook is chapture 3.subject is linear classifiers.
Combining-face-detection-and-people-tracking-in-v
- Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of
VideoSnapCcut
- 经典的视频跟踪处理算法文章Video Snapcut.已经被应用于CS5.-Video SnapCut: Robust Video Object Cutout Using Localized Classifiers
bijishibie
- 基于纹理分析笔迹鉴别系统的设计与实现,文中从笔迹图像预处理、特征提取、分类器以及分类器组合等方而展开研究，设计和实现了一个基于文本独立的离线手写体笔迹鉴别系统软件.-Design and Implementation of the writer identification system based on texture analysis, the paper from the handwriting image preprocessing, feature extraction, classi
Classifiers
- introduction of classifier, introducing some basic concepts before practice classify -introduction of classifier, introducing some basic concepts before practice classify
plate-detection
- 车牌识别的算法描述：Haar特征以及Adaboost分类器-License Plate Recognition Algorithm Descr iption: Haar features and Adaboost classifiers
lec2
- Pe rceptron, con ve rgence, and gene rali zati on Recall tha t we ar e dealing with linear classifiers throug h origin, i.e.-Pe rceptron, con ve rgence, and gene rali zati on Recall tha t we ar e dealing with linear classifiers
afnichidnfs-
- 对五种典型的贝叶斯网分类器进行了分析与比较。在总结各种分类器的基础上，对它们进行了实验比较，讨论了各自的特点，提出了一种针对不同应用对象挑选贝叶斯网分类器的方法。 -Of five kinds of typical bayesian network classifiers are analyzed and compared. On the basis of summarizing the various classifiers, experiments have been carried out
06259963(1)
- Improvement in the performance of neural network-based power transmission line fault classifiers
Using-Semi-supervised-Classifiers-for-Credit-Scor
- Using Semi-supervised Classifiers for Credit Scoring
adaboost
- Now, you ought to implement the AdaBoost.M1 and AdaBoost.M2 algorithms. These algorithms are two versions of the AdaBoost algorithm for handling the Problems with more than two classes. You must first read the paper “Experiments with a New Boosti