In this study, a novel discrimination method for known and unknown target using High-Resolution Range Profile (HRRP), namely log-likelihood ratio score method, is proposed. The aim of this method is to minimize the error probability of discrimination by constructing the unknown target model when the data of unknown target is lack. The Gaussian Mixture Model (GMM) is introduced to model the stat...

BACKGROUND AND OBJECTIVES A commonly cited explanation of how racial discrimination impacts health is the biopsychosocial model. However, the biopsychosocial model does not allow for the effects of perceived provider discrimination on health behavior and utilization. In fact, researchers have directed relatively little attention toward the direct and indirect effects of perceived provider discr...

This paper presents a new approach to EEG analysis and human functional state discrimination. This is Brain Centers Neural Network model (BCNN-model). We declare BCNN-model fundamentals and recent numerical experiments results. These results approve that model has high accuracy in EEG reproduction and human state discrimination. BCNN-model may have applications in functional state identificatio...

Understanding the neural mechanisms underlying object recognition is one of the fundamental challenges of visual neuroscience. While neurophysiology experiments have provided evidence for a "simple-to-complex" processing model based on a hierarchy of increasingly complex image features, behavioral and fMRI studies of face processing have been interpreted as incompatible with this account. We pr...

in the present study, the effect of 5-ht2a receptor blockers in ca1 region of rat hippocampus on spatial learning was assessed in a t-maze, a spatial discrimination task. rats were canulated bilaterally and injected daily vehicle (saline), 5-ht2a-selective antagonist, ketanserin (0.6, 1.2 or 2.4 µg/0.5 µl) and pirenperone (0.1, 0.3, 1.2 or 2.4 µg/0.5 µl) into the cannula 30 minutes before train...

e present a simplified dual-channel discrimination model with spatio-temporal filters to represent the t s visual system contrast sensitivity, and masking based on local spatio-temporal contrast energy. The contras ensitivity filter parameters of the model were based on previous work. The masking and global sensitivity h t parameters are calibrated to masking data using brief grating target sig...

The most important problem confronting color science is the construction of a uniform color space, i.e., a geometrical model of color discrimination in which Euclidean distances between the points representing colors are proportional to perceived color differences. The traditional approach to the construction of a metric color space is based on the integration of just-noticeable color differenc...

Article history: Received 8 March 2016 Received in revised form 22 April 2016 Accepted 21 May 2016 Available online 26 May 2016 Editor: V. Metag To learn about a physical system of interest, experimental results must be able to discriminate among models. We introduce a geometrical measure to quantify the distance between models for pseudoscalarmeson photoproduction in amplitude space. Experimen...

This paper focuses on the interaction between gender discrimination and household decisions. It develops a model with endogenous fertility, endogenous labor supply and endogenous size of government spending. Family policies which concern childcare services are assumed to reduce the time that parents spend on their children. The model shows that gender discrimination may explain differences in h...

A sinusoidal grating can be viewed as a series of light and dark bars. Here we measure the contrast discrimination thresholds for light and dark bars individually, and find that the contrast discrimination thresholds for the whole sinusoid can be explained as ideal summation of the light and dark bar thresholds. We propose a model for light bar, dark bar, and sinusoidal contrast discrimination ...