搜索资源列表
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
Classifier
- 各种分类器的介绍，算法的研究论文，还有模式识别的基础知识-Introduction of various classifiers, the algorithm research paper, as well as the basics of pattern recognition
cr1122
- this file about CLASSIFICATION OF CHAOTIC SIGNALS USING HMM CLASSIFIERS: EEG-BASED MENTAL TASK CLASSIFICATION
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
classificiation-algorithm-overview
- 机器学习领域经典分类算法综述，包括Decision Tree（ＩＤ３、C4.5(C5.0)、CART、PUBLIC、SLIQ和SPRINT算法），三种典型贝叶斯分类器（朴素贝叶斯算法、TAN算法、贝叶斯网络分类器），k-近邻 、 基于数据库技术的分类算法（ MIND算法、GAC-RDB算法），基于关联规则（CBA:Classification Based on Association Rule）的分类（Apriori算法），支持向量机分类，基于软计算的分类方法（粗糙集（rough set）、遗传
userguide-ecclibrary
- This document can be a good candiate to start working on ECOC which used to solve multicalass problems by using multiple binary classifiers.
baysian_2
- In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes theorem with strong (naive) independence assumptions between the features.-In machine learning, naive Bayes classifiers are a family
ANN
- This paper is based on artificial neural network. artifivial neural network is a patter recognition mechanism that resembles the human brain. It have input layers, hidden layers and output layers. ANN provides beter recognition accuracy than other
Acoustic-Analysis-for-Detection-of-Voice-Disorder
- Acoustic Analysis for Detection of Voice Disorders Using Adaptive Features and Classifiers
csit2305
- This paper presents a novel approach for detecting vehicles for driver assistance. Assuming flat roads, vanishing point is first estimated using Hough transform space to reduce the computational complexity. Localization of vehicles is carried u