We analyze whether Independant Component Analysis (ICA) is an appropriate tool for estimating spatial information in spatiochromatic mosaiced color images. In previous studies, ICA analysis of natural color scenes (Hoyer et al. 2000; Tailor et al., 2000; Wachtler et al., 2001; Lee et al. 2002) have shown the emergence of achromatic patterns that can be used for luminance estimation. However, th...

background: responsiveness is one of the three main goals of the health system introduced by world health organization. this study aimed at examining health system responsiveness after health sector evolution plan in kermanshah, western iran. methods: a sample of 335 hospitalized patients was selected using proportionate allocation to population size method in the city of kermanshah (iran) in 2...

spectral decomposition of time series has a significant role in seismic data processing and interpretation. since the earth acts as a low-pass filter, it changes frequency content of passing seismic waves. conventional representing methods of signals in time domain and frequency domain cannot show time and frequency information simultaneously. time-frequency transforms upgraded spectral decompo...

in the present study, quantitative relationships between molecular structure and anti-tubercular activity of some 5-methyl/trifluoromethoxy-1 h -indole-2,3-dione-3-thiosemicarbazone derivatives were discovered. the detailed application of an efficient linear method and principal component regression (pcr) for the evaluation of quantitative structure activity relationships of the studied compound...

in order to evaluate the relationship between morphological characters in rice lines two populations at f3 generation were grown in research field of agricultural sciences and natural resource university, sari, iran, during 2012. statistical analysis on important agronomic traits showed that maximum standard deviation belonged to total grain number followed by filled grains per panicle and grai...

This paper discusses a novel method called ‘ICA with OS’ (‘Independent Component Analysis with Order Statistics’) to solve the vital problem of Blind Source Separation. The key of the procedure is a new alternative Gaussianity measure estimated by Order Statistics of the cdf (cumulative density function) instead of the common pdf (probability density function) moments. The maximization of this ...

Bootstrap methods can be used as an alternative for cross-validation in regression procedures such as principal component regression (PCR). Several bootstrap methods for the estimation of prediction errors and confidence intervals are presented. It is shown that bootstrap error estimates are consistent with cross-validation estimates but exhibit less variability. This makes it easier to select ...

In this paper we proposed a genetic algorithm to minimize a nonconvex and nonlinear cost function based on statistical estimators for solving blind source separation-independent component analysis problem. In this way a novel method for blindly separating unobservable independent component signals from their linear and non linear (using mapping functions) mixtures is devised. The GA presented i...