The goal of SPID is to provide the user with tools capable to simulate, preprocess, process and classify in vivo and ex vivo MRS signals. These tools are embedded in a matlab graphical user interface (GUI). (Pre)processing and clasSification methods can also be automatically run in a row using the matlab command line
标签： preprocess simulate capable provide
上传时间： 2014-11-29
上传用户：chenbhdt
Recent advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and clasSification techniques that were once predominantly the domain of ecologists are now being used more widely. This book provides an overview of these important data analysis methods, from long-established statistical methods to more recent machine learning techniques. It aims to provide a framework that will enable the reader to recognise the assumptions and constraints that are implicit in all such techniques. Important generic issues are discussed first and then the major families of algorithms are described. Throughout the focus is on explanation and understanding and readers are directed to other resources that provide additional mathematical rigour when it is required. Examples taken from across the whole of biology, including bioinformatics, are provided throughout the book to illustrate the key concepts and each technique’s potential.
标签： experimental generation advances enormous
上传时间： 2016-10-23
上传用户：wkchong
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 neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate clasSification of the specific content.
标签： multimedia Semantic analysis research
上传时间： 2016-11-24
上传用户：虫虫虫虫虫虫
1）解压缩 2)打开“手写数字分类软件”文件夹，点击“手写数字分类.msi”安装程序，在安装向导中选择安装目录，安装完成。 3)打开Matlab软件程序，将当前工作目录设为“手写数字分类”的安装目录，在命令行中输入“clasSification”命令，即可打开手写数字分类软件。 4）内含多种识别方法
上传时间： 2014-01-19
上传用户：xfbs821
一个自然语言处理的Java开源工具包。LingPipe目前已有很丰富的功能，包括主题分类（Top clasSification）、命名实体识别（Named Entity Recognition）、词性标注（Part-of Speech Tagging）、句题检测（Sentence Detection）、查询拼写检查（Query Spell Checking）、兴趣短语检测（Interseting Phrase Detection）、聚类（Clustering）、字符语言建模（Character Language Modeling）、医学文献下载/解析/索引（MEDLINE Download, Parsing and Indexing）、数据库文本挖掘（Database Text Mining）、中文分词（Chinese Word Segmentation）、情感分析（Sentiment Analysis）、语言辨别（Language Identification）等API。
上传时间： 2013-12-04
上传用户：15071087253
Wavelet Subband coding for speaker recognition The fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. the fn also calculates the DCT part. using this fn and other algo for pattern clasSification(VQ,GMM) speaker identification could be achived. the progress in extraction is also indicated by progress bar.
标签： recognition calculated Wavelet Subband
上传时间： 2013-12-08
上传用户：guanliya
模式识别作业，用近邻函数法分类的matlab程序，clasSification using matlab
标签： 模式识别
上传时间： 2014-09-11
上传用户：lindor
四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), clasSification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。
标签： FCMclust GKclust GGclust Kmedoid
上传时间： 2013-12-17
上传用户：13160677563
Neural Networks at your Fingertips.rar =============== Network: Adaline Network =============== Application: Pattern Recognition clasSification of Digits 0-9 Author: Karsten Kutza Date: 15.4.96 Reference: B. Widrow, M.E. Hoff Adaptive Switching Circuits 1960 IRE WESCON Convention Record, IRE, New York, NY, pp. 96-104, 1960
标签： Network Fingertips Networks Adaline
上传时间： 2014-12-22
上传用户：lizhizheng88
程序包包含的验证方法，会根据以下的多个指数分配系数(Partition Coefficient)，分类熵clasSification Entropy ，分区索引，分离指数（Separation Index），Xie and Beni s的索引，严重聚类的算法
上传时间： 2017-02-21
上传用户：playboys0
