Classifier
共 43 篇文章
Classifier 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 43 篇文章，持续更新中。
期刊论文：Simultaneous Object Detection and Segmentation by Boosting L
·Simultaneous Object Detection and Segmentation by Boosting Local Shape Feature based Classifier [cvpr07]
运用KPCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器。
运用KPCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器。-KPCA method using ORL face database for face recognition, classification for the nearest neighbor classifier.
Guide to Convolutional Neural Networks
General paradigm in solving a computer vision problem is to represent a raw image<br />
using a more informative vector called feature vector and train a classifier on top of<br />
feature vectors col
Bi-density twin support vector machines
In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density degrees
This is a case for recognition of hand gestures using the 7 Hu moments and neural network classifier
This is a case for recognition of hand gestures using the 7 Hu moments and neural network classifiers
基本遗传分类系统 SCS.C Simple Classifier System
基本遗传分类系统 SCS.C Simple Classifier System
Matlab implementation of ID3 and NaiveBayes classifier. It also includes example dataset as well.
Matlab implementation of ID3 and NaiveBayes classifier. It also includes example dataset as well.
Semantic analysis of multimedia content is an on going research area that has gained a lot of atten
Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multime
Classifier4J是一个很好的基于java的分类器,里面有Native bayes和KNN等方法的文本分类.另外还 提供了分词和自动摘要等功能
Classifier4J是一个很好的基于java的分类器,里面有Native bayes和KNN等方法的文本分类.另外还 提供了分词和自动摘要等功能
Comparison of two IMM tracking and classifier architectures based on Extended and Unscented Kalman
Comparison of two IMM tracking and classifier architectures based on Extended and Unscented
Kalman Filter with CRLB
navie bayes classifier
navie bayes classifier
基本遗传分类系统 SCS.C */ /* Simple Classifier System */ /* developed from the Pascal SCS code presented b
基本遗传分类系统 SCS.C */
/* Simple Classifier System */
/* developed from the Pascal SCS code presented by David E.Goldberg */
/* 同济大学计算机系 王小平 2000年7月 */
This Two-Category Classifier Using Discriminant Functions to separeate two classes. The Classifier
This Two-Category Classifier Using Discriminant Functions to
separeate two classes. The Classifier is designed on classes which
has two feature vectors and other case it has one feature vector.
自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法
自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法，简称sfs.它可以结合Maximum-Likelihood-Classifier分类器进行使用。
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form
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 line
神經網路學習分類..Neural Fault Classifier for Transmission Line Protection A Modular Approach
神經網路學習分類..Neural Fault Classifier for Transmission Line Protection A Modular Approach
贝叶斯分类器
贝叶斯分类器，bayesian classifier,贝叶斯分类器，bayesian classifier
一个由Mike Gashler完成的机器学习方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genet
一个由Mike Gashler完成的机器学习方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genetic algorithm, and some manifold learning algorithms.
bayes network classifier toolbox 贝叶斯网络分类器工具箱的bin文件
bayes network classifier toolbox
贝叶斯网络分类器工具箱的bin文件
bayes network classifier toolbox 贝叶斯网络分类工具箱
bayes network classifier toolbox
贝叶斯网络分类工具箱