搜索资源列表
192010k-average
- kmeans均值聚类算法:一种改进的基于半监督聚类的入侵检测算法ASCID(Active-learning Semi-supervised Clustering Intrusion Detection),-kmeans clustering algorithm Algorithm was simulated by KDD 99 datasets, which the experimental results demonstrate
81404566ssl_survey
- 基于半监督学习的入侵检测技术研究 聚类程序- Intrusion Detection Algorithm Based on semi-supervised learning
NPE
- 本代码实现基于成对约束的半监督图嵌入算法-Following the intuition that the image variation of faces can be effectively modeled by low dimensional linear spaces, we propose a novel linear subspace learning method for face analysis in th
work_for_pattern_recognition
- 通过设计线性分类器;最小风险贝叶斯分类器;监督学习法分层聚类分析;K-L变换提取有效特征,设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract ef
SLLE
- 引入数据类别信息的有监督局部线性嵌入算法,可用于数据分类-Supervised Locally Linear Embedding
semisupervised_learning
- 包含8篇半监督学习方面的中文文献,关于半监督学习的中文文献并不是很多,我把我找到的一些文章贡献一下。分别为:“半监督学习综述”“有关半监督学习的问题及研究”“基于半监督学习的网络流量分析”“基于核策略的半监督学习方法”“一种基于半监督学习的多模态WEB查询精华方法”“半监督学习机制下的说话人辨认算法”“半监督学习在入侵系统中的应用”“基于半监督学习的眉毛图像分割方法”-Includes eight semi-supervised lea
RBFpid
- 基于matlab编程RBF网络监督PID控制程序-Matlab Programming Based on RBF Network Supervised PID Control Program
ISODATA
- 非监督分类算法源码,目前最通用的聚类算法-Non-supervised classification algorithm source code
unsupervized
- 非监督学习示例程序,附带示例数据。运用了迭代算法-Examples of non-supervised learning process, with sample data. Used the iterative algorithm
12
- 关于rbf神经网络实现图像分类(主要针对遥感图像)的IEEE英文文献-Land-cover Supervised Classification
h
- 基于多类支持向量机的遥感图像分类及其半监督式改进策略-Based on multi-class support vector machines for remote sensing image classification and Semi-supervised Improvement Strategy
54
- 由发展蓝图和RBF监督神经网络的图像分类 希望大家喜欢-Supervised image classification by MLP and RBF neural networks
RIC_V1.0
- 为YW6700摄像机开发的定时拍照程序,用于无人值守监控场合,自动定时拍照功能。-snapshot for YW6700 CAMERA based on your time setting. it can be used supervised without people.
Video_semantic
- 本文提出了多个基于半监督学习的自动视频标注方法。通过对几种常见的半监督学习方法,如自训练、互训练以及Co一EM等方法的分析,针对它们(主要是自训练和互训练方法)在视频标注应用中的局限,在提高分类的准确性和模型更新等方面做了深入研究,提出了相应的改进措施。 -This paper presents a number of semi-supervised learning-based automatic video annotation
stanford-ner-2007-11-05
- 斯坦福大学开发的命名实体识别源码,支持英文-Stanford NER- September 2006 ---------------------------------------------- This package provides a high-performance machine learning based named entity recognition system, including facili
SemiSupervisedLearning
- 第一本全面的半监督学习参考书,里面涵盖了半监督方面的各种算法,应用,以及理论证明-This is a comprehensive reference of semi-surpervised learning, including the algrithms, application, and the proof in theory.
jxsvm
- 交互支持向量机学习算法能解决一些监督学习问 题中学习样本较少的问题, 它以支持向量机(SVM ) 方法为 基础, 将设计分类器变成一个交互的过程, 即: 根据对已知 样本进行的SVM 分类器设计, 主动采样选择“有用”的新样 本, 并进行下一步SVM 分类器的设计。与普通SVM 法相 比, 该方法所需的样本量大大降低, 而且可能达到更好的推 广能力。文本信息过滤问题的实例说明了该算法的有效性。-Interacti
pcaexpressprot
- We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA
KLFDA
- 基于局部Fisher准则的非线性核Fisher辨别分析,应用于有监督的特征提取与高维数据的有效降维。-Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.
nk2
- 半监督异常行为监测pdf,提出新的基于半监督学习的行为建模与异常检测方法,采用基于动态时间归整的归一化距离来建立相似矩阵-Semi-supervised monitoring abnormal behavior pdf, propose a new semi-supervised Learning based on behavior modeling and anomaly detection methods, based on Dyn