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Image categorization via robust pLSA
Lu, Zhiwu ; Peng, Yuxin ; Ip, Horace H. S.
刊名pattern recognition letters
2010
关键词Image categorization Probabilistic latent semantic analysis Rival penalized competitive learning Ensemble learning LATENT SEMANTIC ANALYSIS MIXTURE-MODELS QUANTIZATION ALGORITHM RPCL
DOI10.1016/j.patrec.2009.09.003
英文摘要This paper presents a novel method to give a good initial estimate of the probabilistic latent semantic analysis (pLSA) model using rival penalized competitive learning (RPCL), since the expectation maximization (EM) algorithm used to train the model is sensitive to the initialization. As a generative model from the statistical text literature, pLSA is further applied to the bag-of-words representation for each image in the database. Especially for those images containing multiple object categories (e.g. grass, roads, and buildings), we aim to discover the objects (i.e., latent topics) in an unsupervised way using pLSA. Based on the discovered topics, image categorization is then carried out by ensemble-based support vector machine (SVM). We then find in the experiments that the pLSA model with RPCL initialization followed by ensemble-based SVM categorization is robust to the changes of the visual vocabulary and the number of latent topics. (C) 2009 Elsevier B.V. All rights reserved.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000272518000005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; SCI(E); EI; 13; ARTICLE; 1; 36-43; 31
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/161876]  
专题信息科学技术学院
推荐引用方式
GB/T 7714
Lu, Zhiwu,Peng, Yuxin,Ip, Horace H. S.. Image categorization via robust pLSA[J]. pattern recognition letters,2010.
APA Lu, Zhiwu,Peng, Yuxin,&Ip, Horace H. S..(2010).Image categorization via robust pLSA.pattern recognition letters.
MLA Lu, Zhiwu,et al."Image categorization via robust pLSA".pattern recognition letters (2010).
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