scholarly journals Introductory Chapter: Pattern Recognition as Cognitive Process

2019 ◽  
Author(s):  
Andrzej Zak
Keyword(s):  
Pattern Recognition ◽  
Cognitive Process

Understanding evidence-based diagnosis

Diagnosis ◽  
2014 ◽  
Vol 1 (1) ◽  
pp. 39-42 ◽  
Author(s):  
Michael A. Kohn
Keyword(s):  
Pattern Recognition ◽  
Cognitive Process ◽  
Treatment Decisions ◽  
Evidence Based ◽  
Test Results ◽  
The Real ◽  
Medical Tests ◽  
Serious Disease ◽  
Mathematical Process

AbstractThe real meaning of the word “diagnosis” is naming the disease that is causing a patient’s illness. The cognitive process of assigning this name is a mysterious combination of pattern recognition and the hypothetico-deductive approach that is only remotely related to the mathematical process of using test results to update the probability of a disease. What I refer to as “evidence-based diagnosis” is really evidence-based use of medical tests to guide treatment decisions. Understanding how to use test results to update the probability of disease can help us interpret test results more rationally. Also, evidence-based diagnosis reminds us to consider the costs and risks of testing and the dangers of over-diagnosis and over-treatment, in addition to the costs and risks of missing serious disease.

Cross-Racial Empathy: Viewing the White Self through Black Eyes

2017 ◽  
Author(s):  
Kimberly Chabot Davis
Keyword(s):  
Social Change ◽  
Cognitive Process ◽  
Political Change ◽  
American Studies ◽  
Ethnographic Study ◽  
Cultural Consumption ◽  
Cultural Texts ◽  
Progressive Potential ◽  
Changing Attitudes

This introductory chapter focuses on the progressive potential of empathetic feeling to redress a scholarly bias against compassion, empathy, and sympathy, particularly in American studies. Rather than viewing empathy as a “passive ideal” and an impediment to political change, the chapter argues that it is an active cognitive process that can play an important role in changing attitudes and self-perception or even catalyzing action. Tying in with this volume's overall response to critics who believe that the forces of commodification render cultural consumption a tainted vehicle for cross-racial understanding, the chapter argues against a too-hasty dismissal of white consumption of black cultural texts as a potential conduit for social change. In addition, the chapter also discusses multiplex subjectivity and the insider–outsider debate as part of the book's broader ethnographic study.

Software pattern recognition applied to nanodiffraction patterns from a STEM instrument

1986 ◽  
Vol 44 ◽  
pp. 694-695
Author(s):  
G.Y. Fan ◽  
J.M. Cowley
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Computer Software ◽  
Processing System ◽  
Light Level ◽  
Host Computer ◽  
Low Light ◽  
Image Processing System ◽  
Recent Developments ◽  
On Line

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.

Bayesian removal of noise for increased sensitivity in vector pattern recognition lattice imaging of interfaces

1993 ◽  
Vol 51 ◽  
pp. 994-995
Author(s):  
L. Fei ◽  
P. Fraundorf
Keyword(s):  
Pattern Recognition ◽  
Perfect Crystal ◽  
Unit Cell ◽  
Ion Milling ◽  
Beam Radiation ◽  
Major Interest ◽  
Unit Cells ◽  
Mapping Process ◽  
Increased Sensitivity ◽  
Electron Microscopes

Interface structure is of major interest in microscopy. With high resolution transmission electron microscopes (TEMs) and scanning probe microscopes, it is possible to reveal structure of interfaces in unit cells, in some cases with atomic resolution. A. Ourmazd et al. proposed quantifying such observations by using vector pattern recognition to map chemical composition changes across the interface in TEM images with unit cell resolution. The sensitivity of the mapping process, however, is limited by the repeatability of unit cell images of perfect crystal, and hence by the amount of delocalized noise, e.g. due to ion milling or beam radiation damage. Bayesian removal of noise, based on statistical inference, can be used to reduce the amount of non-periodic noise in images after acquisition. The basic principle of Bayesian phase-model background subtraction, according to our previous study, is that the optimum (rms error minimizing strategy) Fourier phases of the noise can be obtained provided the amplitudes of the noise is given, while the noise amplitude can often be estimated from the image itself.

Fluent Reading as a Cognitive Process

1984 ◽  
Vol 29 (1) ◽  
pp. 13-14
Author(s):  
John J. Geyer
Keyword(s):  
Cognitive Process ◽  
Fluent Reading

Pattern Recognition: The Basis of All Cognition?

1989 ◽  
Vol 34 (11) ◽  
pp. 988-989
Author(s):  
Erwin M. Segal
Keyword(s):  
Pattern Recognition
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