搜索资源列表
matlab-code
- 小波分析 图像融合 决策树分类 matlab 源代码 -fusion image, classify
HW5
- 对已有图像进行区域识别,画出决策树,并在测试图像上进行测试。-The image of the existing regional recognition, draw the decision tree, and the test images for testing.
ID3_java
- 使用java语言实现的ID3算法(决策树)-ID3 algorithm using java implementation
C45
- C4. 5 决策树展示算法的设计, C4. 5 决策树展示算法的设计-C4. 5 shows the decision tree algorithm design, C4. 5 shows Algorithm for Decision Tree
imageretrievalVC
- 实现对图像的检索,里面有很多经典的算法,SFT,决策树等等 -Realize image retrieval, there are many classical algorithms, SFT, decision tree, etc.
Sensitive-image-filtering
- 研究了基于内容敏感图像过滤中的若干关键 技术, 分析比较了三种常用的肤色检测算法, 利用统计阈值法评价了各个特征分类图像的能力强弱, 并依此实现了一个决策树 敏感图像过滤器。为有效降低肖像类正常图像的误判率, 又在过滤器中使用了人脸检测机制-Of context-sensitive image filtering based on the number of key technologies, analysis and comparison of the three common ski
batch_decision_tree
- envi软件,调用决策树,经过实测可用。前提装envi-envi software, called the decision tree, after the measured available. Premise equipment envi
dtree
- C语言实现的决策树算法,广泛应用在模式识别中-C language implementation of the decision tree algorithm, widely used in pattern recognition
HOG
- 为了准确地对监控场景中的运动目标进行语义上的分类, 提出了一种基于聚类的核主成分分析梯度方向直方图和二叉决策树支持向量机的运动目标分类算法.利用背景减法提取运动目标前景区域, 并识别出潜在候选运动目标.利 用提出的基于聚类的核主成分分析的梯度直方图描述子提取候选运动目标的特征, 以较低维数的数据有效地描述运动目标的有效特征. 将提取的运动目标特征输入二叉决策树支持向量机, 实现多类目标的准确分类. 通过在不同视频序列上的实验验证, 提出的算法对运动目标进行较好地分类, 而且在运算速度方面较传
DecisionTree
- 基于OpenCV的例程,修改实现了基于MFC对话框构架的决策树算法,将部份注释和运行提示译成了中文,有助于更好地理解原程序。-MFC dialog based Decision-Tree algorithm modifited from OpenCV source code, adding Chinese comment for better understanding the program.
classify
- 分类:将一组值value按照已生成的treeNode决策树进行分类,结果存在result中-classify proble
decision_tree
- 利用batch_decision_tree.sav函数编写的决策树执行程序,网上自带的程序有点缺陷。-decision_tree execute file
shuzituxiangzuoye-
- 对遥感图像进行无监督分类,形成决策树,实现地物的标定-Unsupervised classification of remote sensing images to form a decision tree, the calibration of surface features
Improved-ICA-character-recognition
- 该算法一种结合改进的基于独立分量分析(ICA)提取算法和基于多层感知器和单向二叉决策树的多类支持向量机分类方法。-The algorithm is a combination of improved based on independent component analysis (ICA) algorithm and multi-class support vector machine classification method based on binary decision tree of
112
- 决策树算法 决策树算法 决策树算法-Decision tree algorithm decision tree algorithm decision tree algorithm decision tree algorithm decision tree algorithm
Tree
- 决策树方法在模式识别中的应用,实现了不同决策树方法-Decision tree method in pattern recognition, to achieve a different decision tree methods
C4_5
- C4.5算法是机器学习算法中的一种分类决策树算法,其核心算法是ID3算法. 分类决策树算法是从大量事例中进行提取分类规则的自上而下的决策树. -C4.5 algorithm is a machine learning algorithm, a classification decision tree algorithm, the core algorithm is ID3 algorithm classification tree algorithm is extracted from
mushroom
- 决策树程序。内含数据,一个实例,检测蘑菇是否有毒-This program demonstrated the use of OpenCV s decision tree function for learning and predicting data。
random-forest
- 决策树模型的C++实现,可用来组成随机森林建立随机森林分类器做数据分类及图像分类,代码中有简单的测试样例-C++ implementation of decision tree model, to form a random forest is used to establish the random forest classifier for data classification and image classification, the code is simple test sample
决策树训练及分类
- 该压缩包包括两个文件: 1、main.m 将训练数据输入到决策树中,训练并在自动分好的测试数据上测试,并保存训练好的决策树 ctree.mat文件。 2、classification.m 加载训练好的决策树,使用决策树对新输入的数据进行分类。 该方法主要用于对SLIC超像素块进行分类,稍加修改可以用于其他数据分类。(The compression package consists of two files: 1. Main. m inputs training data into decisio