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技术资料 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]
人工智能/神经网络 Classifier4J这个Java类库为文本自动分类提供了一个API。缺省（目前）实现的API是一个贝叶斯分类器。这个类库可以用于多个目的－可能作为一个垃圾邮件过滤器或一个blog
Classifier4J这个Java类库为文本自动分类提供了一个API。缺省（目前）实现的API是一个贝叶斯分类器。这个类库可以用于多个目的－可能作为一个垃圾邮件过滤器或一个blog
matlab例程 AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yo
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
1. ADABOOST_tr.m
2. ADABOOST_te.m
to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo fi ...
单片机开发 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 multimedia
analysis with great success. This work presents a combined approach
to semantic adaptation of neur ...
技术资料 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.
人工智能/神经网络 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 linear combination of classifiers by overweighting the examples that are misclassified by each classifie ...
matlab例程 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。
人工智能/神经网络 :<<数据挖掘--实用机器学习技术及java实现>>一书的配套源程序
:<<数据挖掘--实用机器学习技术及java实现>>一书的配套源程序，结合数据挖掘和机器学习的知识,以java语言实现了具有代表性的各类数据挖掘方法.例如:classifier中的ZeroR.OneR.NaiveBayes.DecisionTable.IBK.C45,还有聚类,数据预处理等 ...
书籍 Guide to Convolutional Neural Networks
General paradigm in solving a computer vision problem is to represent a raw image
using a more informative vector called feature vector and train a classifier on top of
feature vectors collected from training set. From classification perspective, there are
several off-the-shelf methods such as gradi ...
人工智能/神经网络 < 数据挖掘--实用机器学习技术及java实现> 一书结合数据挖掘和机器学习的知识,作者陈述了自动挖掘模式的基础理论,并且以java语言实现了具有代表性的各类数据挖掘方法.例如:class
< 数据挖掘--实用机器学习技术及java实现> 一书结合数据挖掘和机器学习的知识,作者陈述了自动挖掘模式的基础理论,并且以java语言实现了具有代表性的各类数据挖掘方法.例如:classifier中的ZeroR.OneR.NaiveBayes.DecisionTable.IBK.C45,还有聚类,数据预处理等. ...