网页采集系统 ================= 安装配置 ------- 1 程序我就不说了 2 配置文件 applicationContext.xml 里面有详细的注释 3 已经包含了多个论坛博客的参数，如CSDN论坛、博客园、新浪博客、百度Hi、ccidnet等的解析参数 需要的类库 --------- 1 Spring 2.5 2 common-logging 1.1 3 paoding-analysis 2.0.4-beta 4 commons-dbcp-1.2.2.jar 5 mysql-connector-java-5.1.7-bin.jar 6 commons-pool-1.4.jar 7 Lucene.2.4.0.jar 8 Lucene-highlighter-2.4.0.jar 9 java2000.jar 演示例子 ------- 本地：在com.laozizhu.search.demo目录下面 B/S: http://search.laozizhu.com
标签： applicationContext xml 页 采集系统
上传时间： 2017-04-07
上传用户：牧羊人8920
统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines
标签： Statistical Recognition Pattern Toolbox
上传时间： 2014-01-03
上传用户：璇珠官人
The philosophy of the book is to present various pattern recognition tasks in a unified way, including image analysis, speech processing, and communication applications. Despite their differences, these areas do share common features and their study can only benefit from a unified approach.
标签： recognition philosophy pattern present
上传时间： 2017-05-05
上传用户：plsee
The xapp851.zip archive includes the following subdirectories. The specific contents of each subdirectory below: \rtl - HDL design files \sim - simulation files \synth - Synthesis related files \par - Place/Route related files
标签： subdirectories The following includes
上传时间： 2014-01-25
上传用户：lepoke
In the last decade the processing of polygonal meshes has emerged as an active and very productive research area. This can basically be attributed to two developments: Modern geometry acquisition devices, like laser scanners and MRT, easily produce raw polygonal meshes of ever growing complexity Downstream applications like analysis tools (medical imaging), computer aided manufacturing, or numerical simulations all require high quality polygonal meshes as input. The need to bridge the gap between raw triangle soup data and high-quality polygon meshes has driven the research on ecient data structures and algorithms that directly operate on polygonal meshes rather than on a (most often not feasible) intermediate CAD representation.
标签： processing productive the polygonal
上传时间： 2017-06-03
上传用户：TF2015
The most straightforward approximation is the standard Gaussian approximation, where the MAI is approximated by a Gaussian random variable. This approximation is simple, however it is not accurate in general. In situations where the number of users is not large, the Gaussian approximation is not appropriate. In-depth analysis of must be applied. The Holtzman?s improved Gaussian approximation provides a better approximation to the MAI term. The approximation conditions the interference term on the operation condition of each user.
标签： approximation straightforward the Gaussian
上传时间： 2017-06-03
上传用户：dyctj
The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local memory-based models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.
标签： foundations The consists sections
上传时间： 2017-06-22
上传用户：lps11188
MATSNL is a package of MATLAB M-files for computing wireless sensor node lifetime/power budget and solving optimal node architecture choice problems. It is intended as an analysis and simulation tool for researchers and educators that are easy to use and modify. MATSNL is designed to give the rough power/ lifetime predictions based on node and application specifications while giving useful insight on platform design for the large node lifetime by providing side-by-side comparison across various platforms. The MATSNL code and manual can be found at the bottom of this page. A related list of publications describing the models used in MATSNL is posted on the ENALAB part of the 2 project at http://www.eng.yale.edu/enalab/aspire.htm
标签： computing lifetime wireless M-files
上传时间： 2014-01-01
上传用户：lnnn30
关于矢量网络的分析基础和测量，pdf文档。The basis of vector network analysis and measurement
上传时间： 2014-07-04
上传用户：顶得柱
它是SourceForge上的一个开源项目，使用Malib实现实时处理，CSU Face Identification Evaluation System进行人脸识别。算法包括：主成份分析(principle components analysis (PCA)),a.k.a eigenfaces算法,混合主成份分析,线性判别分析(PCA+LDA),图像差分分类器(IIDC),弹性图像匹配算法(EBGM)等等 Malic is realtime face recognition system that based on Malib and CSU Face Identification Evaluation System (csuFaceIdEval). Uses Malib library for realtime image processing and some of csuFaceIdEval for face recognition.
标签： SourceForge 开源 项目
上传时间： 2014-01-21
上传用户：sz_hjbf
