0000000000414205

AUTHOR

G. Krone

showing 3 related works from this author

Information processing in nuclear magnetic resonance imaging.

1988

An extended image analysis and classification system is presented to discuss the principal composition of the components as well as the methods of its realization in the field of reference based NMR diagnostics and tissue characterization.

PhysicsField (physics)Principal (computer security)Biomedical EngineeringBiophysicsInformation processingSpin–lattice relaxationElectron Spin Resonance SpectroscopyBrainModels TheoreticalImage EnhancementMagnetic Resonance ImagingCharacterization (materials science)Spin–spin relaxationNuclear magnetic resonancePattern recognition (psychology)Data DisplayImage Processing Computer-AssistedHumansRadiology Nuclear Medicine and imagingRealization (systems)HydrogenMagnetic resonance imaging
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On Information Processing in the Cat’s Visual Cortex

1986

We assume that the visual system serves for orientation in space, recognition of objects and the interpretation of scenes and scene sequences. This task breaks up into a series of partially interdependent subproblems which are solved by some 13–15 usually retinotopically organized areas. So far it has not been possible to correlate functions and areas unequivocally. One reason for this could be the inadequacy of the questions posed as a basis for experiments. However, we think it more likely that correlating a function with an area is, as a rule, inadmissible since the degree of the coupling in the whole system does not permit a simple divsion. Rather the type and degree of coupling determi…

Basis (linear algebra)business.industryOrientation (computer vision)Computer sciencemedia_common.quotation_subjectInformation processingPattern recognitionTask (project management)ControllabilityObservabilityArtificial intelligencebusinessFunction (engineering)Complement (set theory)media_common
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On the analysis of the cat's pattern recognition system

1983

The objective of the paper is to determine in abstract terms the algorithms used by the cat detecting simple patterns and to quantify the contributions of the visual areas 17, 18, 19 for this task. The data incorporated in the algorithm are collected from behavioral experiments where the animals had to distinguish between two patterns. The patterns were superimposed with gaussian noise and the detection probability was measured. The resulting model describes pattern recognition in two steps: first extraction of features and second classification. The test of the validity of the model system was to predict the outcome of similar experiments but with different patterns. With the help of the m…

General Computer ScienceModels PsychologicalRetinaTask (project management)Discrimination Learningsymbols.namesakeSimple (abstract algebra)medicineAnimalsParametric equationVision Ocularbusiness.industryInformation processingPattern recognitionOutcome (probability)Form PerceptionVisual cortexmedicine.anatomical_structurePattern Recognition VisualGaussian noisePattern recognition (psychology)CatssymbolsArtificial intelligencePsychologybusinessMathematicsBiotechnologyBiological Cybernetics
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