نتایج جستجو برای: feature oriented principal component analysis
تعداد نتایج: 3577033 فیلتر نتایج به سال:
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...
detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (wsns). to address the problem of outlier detection in wireless sensor networks, in this paper we present a pca-based centralized approach and a dpca-based distributed energy-efficient approach for detecting outliers in sensed data in a wsn. the outliers in sensed data can be ca...
linseed is an important oilseed and fibre crop predominantly grown in india. the aim of the present research was to evaluate genetic diversity and patterns of relationships among the 58 genotypes through 10 morphological traits and 12 polymorphic microsatellite (ssr) markers. euclidean analysis of agro-morphological traits grouped the 58 genotypes into four clusters of which cluster i was the l...
Principal component analysis (PCA) is often used for analyzing data in the most diverse areas. In this work, we report an integrated approach to several theoretical and practical aspects of PCA. We start by providing, intuitive accessible manner, basic principles underlying PCA its applications. Next, present a systematic, though no exclusive, survey some representative works illustrating poten...
selecting within local pomegranate accessions is the main method used to identify new cultivars. total of 76 pomegranate accessions from hatay, turkey, were collected and their morpho-pomological and chemical characteristics were determined. the results showed that there was significant diversity among the accessions in terms of fruit quality parameters. several accessions were notable for thei...
Article history: Received date: 13 September, 2016 Review date: 2 October 2016 Accepted date:20 November 2016 Printed on line: 5 January Purpose: The present study was done to introduce an efficient tool in the field of moral behavior. Material & Method: method of the study was correlational, its approach was test developing and its population was students of Islamic Azad University- Ast...
Existing researches on tracking topics of news videos require lots of labeled examples. However, video labeling is too time-consuming to generate a large number of labeled videos in real applications. In this paper, a novel approach is proposed to track news video topics through using only a few labeled samples. The three main characters of proposed approach are: (1) Multi-view learning process...
ABSTRACT Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis are called principal components. Since Kernel PCA is just a PCA in feature space F , the projection of an image in input space can be reconstructed from its principal components in feature space. This enables us...
background: fetal electrocardiography is a developing field that provides valuable information on the fetal health during pregnancy. by early diagnosis and treatment of fetal heart problems, more survival chance is given to the infant. objective: here, we extract fetal ecg from maternal abdominal recordings and detect r-peaks in order to recognize fetal heart rate. on the next step, we find a b...
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