نتایج جستجو برای: incremental principal component analyses

تعداد نتایج: 1089938  

Journal: :journal of ai and data mining 2013
meysam alikhani mohammad ahmadi livani

mobile ad-hoc networks (manets) by contrast of other networks have more vulnerability because of having nature properties such as dynamic topology and no infrastructure. therefore, a considerable challenge for these networks, is a method expansion that to be able to specify anomalies with high accuracy at network dynamic topology alternation. in this paper, two methods proposed for dynamic anom...

Journal: :iranian red crescent medical journal 0
khodabakhsh ahmadi behavioral sciences research center, baqiyatallah university of medical sciences, tehran, ir iran; behavioral sciences research center, baqiyatallah university of medical sciences, tehran, ir iran. tel: +98-2188053767, fax: +98-2188053767 hassan saadat behavioral sciences research center, baqiyatallah university of medical sciences, tehran, ir iran siena noushad school of medicine, tehran university of medical sciences, tehran, ir iran

results two hundred and ninety-nine respondents completed the leisure time and marital conflict questionnaires. five major leisure patterns were identified accounting for 60.3% of the variance in data. the most dominant pattern was family-oriented activities (e.g. spending time with family outdoors and spending time with family indoors) and was negatively linked to marital conflict (standardize...

Mobile Ad-hoc Networks (MANETs) by contrast of other networks have more vulnerability because of having nature properties such as dynamic topology and no infrastructure. Therefore, a considerable challenge for these networks, is a method expansion that to be able to specify anomalies with high accuracy at network dynamic topology alternation. In this paper, two methods proposed for dynamic anom...

Journal: :IEEE Trans. Pattern Anal. Mach. Intell. 2003
Juyang Weng Yilu Zhang Wey-Shiuan Hwang

Appearance-based image analysis techniques require fast computation of principal components of high-dimensional image vectors. We introduce a fast incremental principal component analysis (IPCA) algorithm, called candid covariance-free IPCA (CCIPCA), used to compute the principal components of a sequence of samples incrementally without estimating the covariance matrix (so covariance-free). The...

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