In extending univariate outlier detection methods to higher dimension, various issues arise: limited visualization methods, inadequacy of marginal methods, lack of a natural order, limited parametric modeling, and, when using Mahalanobis distance, restriction to ellipsoidal contours. To address and overcome such limitations, we introduce nonparametric multivariate outlier identifiers based on m...

Objective in this paper, we have done Mahalanobis Discriminant analysis to EEG data of experiment objects which are recorded impersonally come up with a relatively accurate method used in feature extraction and classification decisions. Methods In accordance with the strength of  wave, the head electrodes are divided into four species. In use of part of 21 electrodes EEG data of 63 people, we ...

Twenty genotypes of Brassica juncea subspecies rugosa were grown in a randomized block design (RBD) for assessment diversity using Mahalanobis D2 and Principal component statistics. Genetic plays an important role plant breeding because hybrids between parents diverse origin generally displayed greater heterosis than those closely related. Geographical may not be the only factor responsibl...

The impact of using different lossy compression algorithms on the matching accuracy of iris recognition systems is investigated relating rate-distortion performance to the matching scores obtained by a concrete recognition system. JPEG2000 and SPIHT are found to be well suited for the compression task, followed by PRVQ, JPEG, and finally FRAC. Overall, applying compression algorithms is found t...

During the last decade, there has been an increasing interest in the design of very fast wavelet image encoders focused on specific applications like interactive real-time image and video systems, running on power-constrained devices such as digital cameras, mobile phones where coding delay and/or available computing resources (working memory and power processing) are critical for proper operat...

According to the fundamental goal of remote sensing technology, the image classification of desired sensors can be introduced as the most important part of satellite image interpretation. There exist various algorithms in relation to the supervised land use classification that the most pertinent one should be determined. Therefore, this study has been conducted to determine the best and most su...