This handbook presents a thorough overview in 45 chapters from more than 100 renowned experts in the field. It provides the tools to help overcome the problems of video storage, cataloging, and retrieval, by exploring content standardization and other content clasSification and analysis methods. The challenge of these complex problems make this book a must-have for video database practitioners in the fields of image and video processing, computer vision, multimedia systems, data mining, and many other diverse disciplines. Topics include video segmentation and summarization, archiving and retrieval, and modeling and representation.
标签： handbook chapters presents overview
上传时间： 2013-12-15
上传用户：yuzsu
高斯过程是一种非参数化的学习方法，它可以很自然的用于regression，也可以用于clasSification。本程序用高斯过程实现分类！
上传时间： 2015-10-22
上传用户：gxf2016
ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. clasSification Algorithms include Naive Bayes, KNN
标签： the provides computer download
上传时间： 2015-11-29
上传用户：ywqaxiwang
Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear clasSification and regression problems .It can better deal with the small sample, nonlinear and
标签： method statistic learning Support
上传时间： 2014-12-02
上传用户：zukfu
AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern clasSification, it also can be applied into feature selection. This document explains the use of AdaBoost.
标签： efficient AdaBoost learning learners
上传时间： 2013-12-06
上传用户：小宝爱考拉
模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern recognition and learning theory are reviewed in a two-class pattern clasSification setting. This basic model best illustrates intuition and analysis techniques while still containing the essential features and serving as a prototype for many applications. Topics discussed include nearest neighbor, kernel, and histogram methods, Vapnik–Chervonenkis theory, and neural networks. The presentation and the large (thogh nonexhaustive) list of references is geared to provide a useful overview of this field for both specialists and nonspecialists.
标签： statistical Classical Abstract pattern
上传时间： 2013-11-25
上传用户：www240697738
用Fourier变换求取信号的功率谱---周期图法 用Fourier变换求取信号的功率谱---分段周期图法 用Fourier变换求取信号的功率谱---welch方法 功率谱估计----多窗口法（multitaper method ,MTM法） 功率谱估计----最大熵法（maxmum entmpy method,MEM法） 功率谱估计----多信号分类法（multiple signal clasSification,music法）Fourier transform to strike a signal to the power spectrum - the cycle of plans Fourier transform to strike a signal to the power spectrum - Sub-cycle Method Fourier transform to strike a signal to the power spectrum --- welch method Power spectrum estimated more than window ---- Law (multitaper method, MTM) ---- Power spectrum estimate of maximum entropy (maxmum entmpy method, MEM) ---- More than the estimated power spectrum signal clasSification (multiple signal clasSification, music)
上传时间： 2016-07-16
上传用户：wqxstar
Some paintings lyapunov chaotic attractor and the related terms, while the sub-critical and supercritical clasSification
标签： sub-critical paintings attractor and
上传时间： 2016-07-29
上传用户：龙飞艇
决策树分类，Your task for this project is to develop an system which performs a clasSification task with any various Decision Tree.
上传时间： 2016-08-01
上传用户：源弋弋
统计模式识别、线性或非线性回归以及人工神经网络等方法是数据挖掘的有效工具，支持向量分类（support vector clasSification，简称SVC）算法是一个很有发展前景的方向。
上传时间： 2014-02-16
上传用户：lifangyuan12
