The recognition of other individuals is a major prerequisite for human social interaction and hence a rather important brain function. The most prominent cue for that recognition is the face. The capability to recognize persons from their faces is part of a spectrum of related skills, which include face segmentation, i.e., finding faces in a scene or image, the estimation of the pose, the direc...

The recognition heuristic assumes that people make inferences based on the output of recognition memory. While much work has been devoted to establishing the recognition heuristic as a viable description of how people make inferences, more work is needed to fully integrate research on the recognition heuristic with research from the broader cognitive psychology literature. In this article, we o...

gaining knowledge of the different existential aspects of human being counts among some the most important issues in psychology (‘ilm al-nafs) and anthropology. in this respect, philosophers in philosophical psychology or knowledge of the self have discussed the different degrees of soul and its faculties, whereas ancient philosophers used to deal with such issues in discussions over natural sc...

Facial expressions allow people to communicate emotions, is practically the first thing that we observe when interacting with someone. In computer science, facial expressions recognition is important because their analysis has direct application in areas such psychology, medicine, education, among others. In this paper is presented the design process of a facial expressions recognition system w...

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BACKGROUND Knowledge and awareness about childhood autism is low among health care workers and the general populace in Nigeria. Poor knowledge about childhood autism among final year medical, nursing and psychology students who would form tomorrow's child health care professionals can compromise early recognition and interventions that are known to improve prognosis in childhood autism. Educati...

Inspired by studies of cognitive psychology, we proposed a new dynamic similarity kernel for visual recognition. This kernel has great consistency with human visual similarity judgement by incorporating the perceptual distance function. Moreover, this kernel can be seen as an extension of Gaussian kernel, and therefore can deal with nonlinear variations well like the traditional kernels. Experi...

The process by which humans distinguish visually between letters of the alphabet is a matter of considerable theoretical and practical interest. On the theoretical side, it is a classical problem in psychology, and has served as a test case for numerous theories of feature analysis and pattern recognition. On the practical side, it is relevant to the effective design of any textual display. Fur...

Classifier combinations are effective techniques for difficult pattern recognition problems such as speech recognition where the combination of differently trained classifiers can produce a more robust phoneme classification on noisy datasets. In this paper we investigate traditional linear combination schemes (e.g. arithmetic mean and least squares methods), and propose a new combiner based on...

This paper gives the definition of Transparent Neural Network “TNN” for the simulation of the globallocal vision and its application to the segmentation of administrative document image. We have developed and have adapted a recognition method which models the contextual effects reported from studies in experimental psychology. Then, we evaluated and tested the TNN and the multi-layer perceptron...