This paper presents a new approach based on a Two-Stage Linear Discriminant Analysis (Two-Stage LDA) and Conjugate Gradient Algorithms (CGAs) for face recognition. A Two-Stage LDA technique is proposed that utilises the null space of the sample covariance matrix as well as using the range space of the between-class scatter matrix to extract discriminant information. Classic Back Propagation (BP...

People seek ideal romantic partners who are similar to themselves. In this research, we tested whether this preference reflects a self-enhancement bias. Study 1 (N = 40) found that people who like themselves a lot (i.e., high self-esteem people) were more likely to describe their ideal romantic partner in terms that matched their self-evaluations than were people whose self-feelings are more am...

This study is concerned with microwave full-waveform inversion method for the reconstruction of electromagnetic properties in heterogeneous one-dimensional media. Perfectly-Matched-Layers (PMLs) are introduced as wave-absorbing boundary to reduce the originally infinite medium to a finite computational domain. The microwave full-waveform inversion method is based on an optimization approach con...

In recent years, a considerable amount of research has been devoted to linear time-invariant descriptor systems (called also singular or differential–algebraic) and to delay differential systems because of their extensive applications. The presence of time delays, in fact, arises in various technical systems, such as electric, pneumatic and hydraulic networks, chemical processes, long transmiss...

Expertise researchers have traditionally shied away from studying the highest levels of achievement in favor of studying basic cognitive processes, such as memory and categorization. In this article, we present a different approach that is focused on capturing superior (expert) performance on representative tasks that reveal the essential characteristics of expertise in a given domain. In domai...

digitalis. L Direct effects on peripheral vascular resistance. J Clin Invest 39: 930-936 Schoener EP, Dutta S, Kohn K, Marks BH (1976) Ouabain distribution in central nervous system after intrawrebroventricular or intravenous administration. Pharmacologist 18 (2): 168 Schwartz PJ, Stone HL (1977) Tonic influence of the sympathetic nervous system on myocardial reactive hyperemia and on coronary ...

References 1 Koskela HO, Hyvärinen L, Brannan JD, et al. Responsiveness to three bronchial provocation tests in patients with asthma. Chest 2003; 124: 2171–2177. 2 Brannan JD, Anderson SD, Perry CP, et al. The safety and efficacy of inhaled dry powder mannitol as a bronchial provocation test for airway hyperresponsiveness: a phase 3 comparison study with hypertonic (4.5%) saline. Respir Res 200...

A 2010 Colorado River symposium held in Flagstaff, Arizona, in May 2010, had 70 participants who engaged in intense debate about the origin and evolution of the Colorado River system. This symposium, built on two previous decadal scientifi c meetings, focused on forging scientifi c consensus where possible, while also articulating continued controversies regarding the Cenozoic evolution of the ...

Classification is one of the most important task in application areas of artificial neural networks (ANN).Training neural networks is a complex task in the supervised learning field of research. The main difficulty in adopting ANN is to find the most appropriate combination of learning, transfer and training function for the classification task. We compared the performances of three types of tr...

This chapter focuses on comparing the forecasting ability of the backpropagation neural network (BPNN) and the nonlinear autoregressive moving average with exogenous inputs (NARX) network trained with different algorithms; namely the quasi-Newton (Broyden-Fletcher-Goldfarb-Shanno, BFGS), conjugate gradient (Fletcher-Reeves update, Polak-Ribiére update, Powell-Beale restart), and Levenberg-Marqu...