Results 221 to 230 of about 628,838 (267)
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Kybernetik, 1968
A new probabilistic learning machine for pattern recognition is described. The machine operates on the basis of random criteria obtained from special pseudorandom generators. The input, particularly versatile due to the use of an image dissector, allows a random scan for which normal television storage pick-up tubes are not suitable.
G, Palmieri, E, Wanke
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A new probabilistic learning machine for pattern recognition is described. The machine operates on the basis of random criteria obtained from special pseudorandom generators. The input, particularly versatile due to the use of an image dissector, allows a random scan for which normal television storage pick-up tubes are not suitable.
G, Palmieri, E, Wanke
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Pattern recognition categories
Pattern Recognition, 1976Abstract We present a categorical definition of pattern recognition, which unifies algebraic and topological formalisms. We state and prove a recognition theorem, and show how to define equivalence and invariants for both settings.
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Pattern recognition by computer
Proceedings of the Royal Society of London. Series B. Biological Sciences, 1973Abstract The history of attempts at automatic recognition of images derived from microscopic and other biological material has now about 15 years to it; but there are as yet few working systems in which recognition tasks of any degree of complexity are done by computers or allied hardware.
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A language for pattern recognition
Pattern Recognition, 1968Abstract A pattern is defined to be any element of a finite Boolean Algebra generated by the elements of a pre-defined set of partitions on an abstract set. An object is defined to be the “atomic patterns” in this Boolean Algebra, i.e. the elements which cover the least element. A description is a statement obtained from a set of basic predicates by
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IEEE Transactions on Systems, Man, and Cybernetics, 1972
The results of an automated classification of the peripheral blood leukocytes into eight categories are presented. The classification was achieved by means of digital image processing. The categories were: small lymphocytes, medium lymphocytes, large lymphocytes, band neutrophils, segmented neutrophils, eosinophils, basophils, and monocytes.
James W. Bacus, Earl E. Gose
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The results of an automated classification of the peripheral blood leukocytes into eight categories are presented. The classification was achieved by means of digital image processing. The categories were: small lymphocytes, medium lymphocytes, large lymphocytes, band neutrophils, segmented neutrophils, eosinophils, basophils, and monocytes.
James W. Bacus, Earl E. Gose
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Nature, 1967
Experiments show that there is a mechanism which enables bees to measure different angles of stripes on a vertical screen, and what kinds of stimuli may be decisive as sensory input.
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Experiments show that there is a mechanism which enables bees to measure different angles of stripes on a vertical screen, and what kinds of stimuli may be decisive as sensory input.
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On Patterns and Pattern Recognition
1984A set theoratic model for representing patterns and pattern classes is presented. Accordingly, a pattern P is defined as a finite non-empty set of features where feature element F is a 3-tupple, . The first two components Xi and Xj of the feature tupple F are either primitive patterns or sub-patterns appearing in a given pattern, and the third ...
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Pattern Recognition in a Bucket
2003This paper demonstrates that the waves produced on the surface of water can be used as the medium for a “Liquid State Machine” that pre-processes inputs so allowing a simple perceptron to solve the XOR problem and undertake speech recognition. Interference between waves allows non-linear parallel computation upon simultaneous sensory inputs.
Chrisantha Fernando, Sampsa Sojakka
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Interactive Pattern Recognition
2008Pattern Recognition systems are not error-free. Human intervention is typically needed to verify and/or correct the result of such systems. To formalize this fact, a new framework, which integrates the human activity into the recognition process taking advantage of the user's feedback, is described.
Enrique Vidal 0001 +3 more
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Pattern Recognition, 1969
Abstract A 3-day Symposium on Automatic Photointerpretation was held in Washington, D.C., U.S.A. in the summer of 1967. Thirty technical papers were presented at the meeting. Although the research has been done independently in widely diverse disciplines, the basic methods used in pictorial pattern recognition are similar. Based on this unified point
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Abstract A 3-day Symposium on Automatic Photointerpretation was held in Washington, D.C., U.S.A. in the summer of 1967. Thirty technical papers were presented at the meeting. Although the research has been done independently in widely diverse disciplines, the basic methods used in pictorial pattern recognition are similar. Based on this unified point
openaire +1 more source