搜索资源列表
Classifiers
- 向量空间模型分类器 A vector-space model classifiers package
classifiers
- 数据挖掘classifiers算法，用JAVA实现的分类算法。
Eyes Location by Hierarchical SVM Classifiers
- 模式识别中人连识别眼镜定位，用的是matlab支持向量机开发的-human pattern recognition to identify even glasses positioning, using the Matlab SVM Development
wwe3456
- 基于多分类器组合的笔迹验证 －－文章-Based on the composition of the classifier based on the handwriting test multiple classifiers combination of handwriting authentication-- article
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
ganzhi
- 神经网络感知器做的分类器的源码，适合神经网络初学者-Perceptron neural network classifiers make the source code, suitable for beginners neural network
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!
icsiboost-0.3.tar
- Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of cl
Classifiers
- 向量空间模型分类器 A vector-space model classifiers package-Vector space model classifier A vector-space model classifiers package
classifiers
- 数据挖掘classifiers算法，用JAVA实现的分类算法。-Data mining classifiers algorithm, using JAVA realize the classification algorithm.
fenleichengxu
- 用VC++实现图像的分类识别，模板匹配分类器，Bayes分类器，线性函数分类法，非线性分类法，神经网络分类器-With VC++ Achieve image classification and recognition, template matching classifier, Bayes classifier, a linear function of classification, non-linear classificatio
gyy
- 从因子分析的角度出发解决基因表达谱分析问题。为解决独立成分分析方法在求解过程中的不稳定性，提出一种基于选择性独立成分分析的DNA微阵列数据集成分类器。首先对基因表达水平的重构误差进行分析，选择部分重构误差较小的独立成分进行样本重构，然后基于重构后的样本同时训练多个支持向量机基分类器，最后选择部分分类正确率较高的基分类器进行最大投票以得到最终结果。在3个常用测试集上验证了本文设计方法的有效性。-This paper tries to de
IDE
- The matlab code implements the ensemble of decision tree classifiers proposed in: "L. Nanni and A. Lumini, Input Decimated Ensemble based on Neighborhood Preserving Embedding for spectrogram classification, Expert System
zuoye
- 利用matlab软件对模式识别进行了很好的仿真，利用贝叶斯分类器对男女生进行了很好的分类。-Pattern recognition using matlab software had a very good simulation, the use of Bayesian Classifiers for boys and girls had a very good classification.
gmmbayestb-v0.1.tar
- This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned indi
ClassifierforIRISdata
- 用于对IRIS数据进行分类的各种分类器，用于对多维采样点进行无监督分类。可根据类别数修改分类器，模式识别作业的部分代码。-IRIS data for the various classification categories, for sampling points on the multi-dimensional non-supervised classification. Can be modified in accordance
OpenCV_ObjectDetection_HowTo
- How-to build a cascade of boosted classifiers based on Haar-like features
Adaboost-Tracking
- Video tracking using Adaboost algorithm for auto-updating of the weak classifiers. The object has to be defined by the user (no auto-recogntion). The tracker works for every type of object (no prior assumptions are tak
Probabilistic-Fuzzy-Classifiers
- Probabilistic Fuzzy Classifiers
Classifiers
- 我们需要成百上千的分类器来解决现实世界的分类吗 我们评估179分类17种分类器（判别分析，贝叶斯，神经网络，支持向量机，决策树，基于规则的分类器，升压、装袋、堆放、随机森林和其他合奏，广义线性模型，线性，偏最小二乘法和主成分回归，logistic回归、多项式回归、多元自适应回归样条等方法），实现在WEKA，R（有或没有插入包），C和Matlab，包括所有目前可用的相关分类。(Do-we-Need-Hundreds-of-Classif