Results 271 to 280 of about 1,098,703 (325)
Some of the next articles are maybe not open access.
Effect of visual noise on pattern recognition
Experimental Brain Research, 2005We recognize objects even when they are partially degraded by visual noise. Using monkeys performing a sequential delayed match-to-sample task, we studied the relation between the amount of visual noise (5, 10, 15, 20 or 25%) degrading the eight black and white stimuli used here, and the accuracy and speed with which matching stimuli were identified ...
Barry J. Richmond, Munetaka Shidara
openaire +3 more sources
Recognition of visual pattern components in squirrel monkeys [PDF]
European Archives of Psychiatry and Neurological Sciences, 1986 In 4 mixed-age captive groups of squirrel monkeys the predator alarm behavior control by means of visual stimuli was studied, and the extent to which socially inexperienced infant squirrel monkeys are capable of species-specific alarm behavior. By means of color film projection it was shown that both the socially experienced and inexperienced subjects ...
Sigrid Hopf, Michael Herzog
openaire +2 more sources
1985
One of the major problems in the understanding of visual perception concerns how spatially structured stimuli are visually encoded and processed by the nervous system. Over the last decade two main theories of form perception and pattern recognition have emerged.
David F. Andrews, A. M. Herzberg
openaire +2 more sources
One of the major problems in the understanding of visual perception concerns how spatially structured stimuli are visually encoded and processed by the nervous system. Over the last decade two main theories of form perception and pattern recognition have emerged.
David F. Andrews, A. M. Herzberg
openaire +2 more sources
Visual pattern recognition in the years ahead [PDF]
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 2004 Conventional classification algorithms have already reached a plateau at the trade-off imposed by the bias due to the structure of the classifier and the variance due to the limited size of the training set. The latter may be alleviated by exploiting known constraints, including class and style priors, language models, statistical correlations between ...
openaire +1 more source
2014
An overview of the visual pattern recognition process and associated key issues are presented in this chapter. The varying scales and shapes, inter-class similarity, large number of features, and complex backgrounds are issues related to visual pattern recognition. The book focuses on these issues. The chapter introduces different algorithms addressing
Pramod Kumar Pisharady +2 more
openaire +2 more sources
An overview of the visual pattern recognition process and associated key issues are presented in this chapter. The varying scales and shapes, inter-class similarity, large number of features, and complex backgrounds are issues related to visual pattern recognition. The book focuses on these issues. The chapter introduces different algorithms addressing
Pramod Kumar Pisharady +2 more
openaire +2 more sources
A VISUAL MODEL FOR PATTERN RECOGNITION
International Journal of Neural Systems, 1992A general model for an optical recognition system capable of simultaneous recognition of patterns at different resolution levels is outlined. The model is based on two hierarchic stages of processing networks and presents interesting analogies with the human visual system. Illustrative applications and preliminary experimental results are also briefly
openaire +1 more source
SOME ASPECTS OF VISUAL PATTERN RECOGNITION [PDF]
Kybernetes, 1973 This paper is concerned with the detection of “features” of visual patterns, in particular with a view to the construction of a reading automaton. The features can be divided into micro‐features and macro‐features. It is much more difficult to detect a macro‐feature than a micro‐feature of a pattern. For the detection of at least a large class of macro‐
openaire +1 more source
A Model of the Visual Pattern Recognition System
IFAC Proceedings Volumes, 1968Abstract The structure of the lateral inhibition which is found in the eye of the horse shoe crab is considered as the simplest and the most fundamental organization in the nervous system. However, its relation to the higher information processing functions of the nervous system is not yet fully understood.
Katsuhiko Fujii, Tatsuya Morita
openaire +2 more sources
Visualizing Neural Networks for Pattern Recognition
Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence, 2018Understanding how a machine learns is a pressing topic as machine learning becomes more complex enabled by more powerful computers. This paper presents a visualization of neural networks to make them trackable during the operation of learning for pattern recognition, as well as testing for patterns.
Kevin Tapia +3 more
openaire +2 more sources
Simplified Visual Cortex Model for Pattern Recognition [PDF]
2018 Innovations in Intelligent Systems and Applications Conference (ASYU), 2018 A simplified primary cortex model is developed that can be used in pattern recognition. There are 1024 excitatory, 256 inhibitory cells. Integrate and Fire neuron model is chosen in the simulations. Each cell in the model may have three type of sources for input; sensory, connection and a constant background. Spike Timing Dependent Plasticity (STDP) is
Çevikbaş, Can, YILDIRIM, TÜLAY
openaire +2 more sources