java code for text CLASSification
標(biāo)簽： CLASSification java code text
上傳時(shí)間： 2013-12-19
上傳用戶：小儒尼尼奧
LAND COVER CLASSification OF RURAL AREAS USING LIDAR DATA: A COMPARATIVE STUDY IN THE CONTEXT OF FIRE RISK
標(biāo)簽： CLASSification COMPARATIVE CONTEXT COVER
上傳時(shí)間： 2017-09-17
上傳用戶：小寶愛考拉
library for SVMCLASSification and regression. It solves C-SVM CLASSification, nu-SVM CLASSification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM CLASSification.
標(biāo)簽： CLASSification SVMCLASSification regression library
上傳時(shí)間： 2013-12-21
上傳用戶：thuyenvinh
稀疏表示分類算法（Sparse Representation-based CLASSification，SRC）在人臉數(shù)據(jù)庫(kù)上有很高的識(shí)別性能。然而，對(duì)于姿態(tài)變化，SRC的識(shí)別效果并不理想。針對(duì)SRC算法不能解決測(cè)試樣本與訓(xùn)練樣本存在偏移誤差的問(wèn)題，本文提出了基于SRC的改進(jìn)算法。該算法將每一類的訓(xùn)練樣本單獨(dú)作為訓(xùn)練字典，利用迭代校正和基于金字塔分層機(jī)構(gòu)的運(yùn)動(dòng)偏移估計(jì)方法得到最終的偏移量，最后對(duì)校正后的測(cè)試樣本使用SRC算法實(shí)現(xiàn)分類。實(shí)驗(yàn)結(jié)果表明該方法對(duì)于有偏移誤差的人臉圖像具有較好的魯棒性及識(shí)別率。
標(biāo)簽： SRC 算法 人臉識(shí)別 中的應(yīng)用
上傳時(shí)間： 2013-11-15
上傳用戶：haiya2000
This code is to estimate the parameter of model of Mixture Gauss which is popular model used in pattern CLASSification . JAVA 寫的估計(jì)復(fù)合高斯模型中的參數(shù)
標(biāo)簽： model parameter estimate Mixture
上傳時(shí)間： 2015-04-10
上傳用戶：kikye
Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and CLASSification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.
標(biāo)簽： Description supervised algorithm S-ISOMAP
上傳時(shí)間： 2015-04-10
上傳用戶：wfeel
ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised CLASSification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
標(biāo)簽： ICA extension framework classify
上傳時(shí)間： 2013-12-22
上傳用戶：himbly
一個(gè)增量文本聚類的算法。 參考文獻(xiàn)： Wai-chiu Wong, Ada Wai-chee Fu, Incremental Document Clustering for Web Page CLASSification.
標(biāo)簽： Incremental Clustering Wai-chiu Wai-chee
上傳時(shí)間： 2013-12-28
上傳用戶：123啊
matlab數(shù)據(jù)挖掘算法。實(shí)用cart決策樹進(jìn)行分類，可識(shí)別多類。decision tree algorithm, CLASSification.
標(biāo)簽： matlab cart 數(shù)據(jù)挖掘算法 決策樹
上傳時(shí)間： 2014-12-06
上傳用戶：xsnjzljj
Myself graduation project content, asp access does the news issue system, myself carefully manufacture, satisfies the general graduation project the request, the manager password is wwwfox, supports on the picture to pass on the news, the news CLASSification, the special news, in the station searches, myself intensely recommend
標(biāo)簽： graduation carefully manufactu content
上傳時(shí)間： 2014-01-09
上傳用戶：康郎
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