Algorithms as discrimination detectors

Dogs as Disease and Cancer Detectors: A Literature Review

Stereoscopic depth discrimination in the visual cortex: neurons ideally suited as disparity detectors.

The possibility has been explored that a subset of physiologically identifiable cells in the visual cortex is especially suited for the processing of stereoscopic depth information. First, characteristics of a disparity detector that would be useful for such processing were outlined. Then, a method was devised by which detailed binocular response data were obtained from cortical cells. In addit...

Tachycardia Discrimination Algorithms in ICDs

The detection of cardiac arrhythmia and the differential algorithm used for the recognition of ventricular tachycardia (VT) or ventricular fibrillation (VF) necessitating internal cardiac de‐ fibrillator (ICD) therapy is one of the most critical issues in ICD patients. Main goal is to devel‐ op algorithms with the highest possible sensitivity to avoid untreated arrhythmias and highest possible ...

Discrimination at threshold: labelled detectors in human vision.

We examined discriminations between small patches of grating that differed in either spatial or temporal frequency. The patches were presented at contrasts near to detection threshold. For certain pairs of stimuli, each was correctly identified as often as it was detected. To explain this result, we hypothesize that the detectors of these stimuli are lube/led, in the sense that the observer can...

Generation of feature detectors for texture discrimination by genetic search

The paper presents a genetic algorithm based methodology for learning a set offeature detectors for texture discrimination. This methodology is implemented inJo a vision system that learns to classify noisy examples of different texture classes by evolving populations of simple and texture-specific local spatial feature detectors.