搜索资源列表
InsDif
- Multi-label learning by instance differentiation.pdf 多示例学习及相关介绍，包含源码！
mulan
- Multi-label classification 和weka集成
multi-window
- 利用PageControl和TForm实现多标签窗口的一个简单的实现方法-Use PageControl TForm and realizing label window a simple realization method
random_walker_matlab_code
- The random walker algorithm was introduced in the paper: Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Compute
mddm
- 多标签降维 南京大学周志华 AI研究论文实现MAtlab源代码-multi-label dimensionality reduction
growcut
- GrowCut algorithm from "GrowCut" - Interactive Multi-Label N-D Image Segmentation：可用于目标提取的分割算法，包括算法原文 -GrowCut algorithm from " GrowCut" - Interactive Multi-Label ND Image Segmentation: segmentation can be used for object extraction algori
randomwalk
- Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials
BoosTexter2_1_windows
- BoosTexter2_1 Boosting text mining multi-label
Dialog_Based
- A report with list control . This list control sorted multi data and edit label-A report with list control . This list control sorted multi data and edit label
WELL
- 它试图解决的问题，薄弱的标签是一个多学习一种新标签的问题，其中只有部分标签集与每个提供相关培训的例子-This package includes the MATLAB code of the multi-label learning algorithm WELL. It tries to deal with weak label problem which is a new kind of multi-label learning problem, where only a partial la
mddm(data)
- MDDM多标记降维,可以用来减少高维多标记数据的维度。-MDDM is a package for multi-label dimensionality reduction. It can be used to reduce the dimensionality of high-dimensional multi-label data.
BAMIC
- BAMIC是一种multi-instance聚类的算法。-BAMIC is a package for multi-instance clustering. This package includes the MATLAB implementation of BAMIC, which is designed to deal with unsupervised multi-label learning problems. It is particularly useful when real-wo
browser
- VC++ 基于IE内核功能很齐全的浏览器(支持多标签)-VC++ based on the IE core complete browser (supports multi-label)
TRAM
- TRAM程序使用MATLAB代码编写实现直推式多标记学习算法。里面包括可读文件和实例。-This package includes the MATLAB codes for transductive multi-label learning algorithm. A Readme file and an example file are included in the package.
tuxiangfengesuanfasheji
- 图像处理与图像分割，本实验算法较好的实现了目标的前景背景分割。-photo process and division V. Vezhnevets and V. Konouchine. GrowCut: Interactive multi-label ND image segmentation by cellular automata. Proc. of Graphicon
Multi-class-SVM-Image-Classification
- 基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural ne
48---A-Multi-Label-Learning-Method-Using-Affinity
- 48 - A Multi-Label Learning Method Using Affinity Propagation and Support Vector Machine
LEAD
- This toolbox contains programs for the multi-label classifier which explicitly exploits label dependency with Bayesian network structure.