Results 251 to 260 of about 569,009 (312)
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Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Vision Transformers have been the most popular network architecture in visual recognition recently due to the strong ability of encode global information. However, its high computational cost when processing high-resolution images limits the applications
Qibin Hou +3 more
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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 ...
Munetaka, Shidara, Barry J, Richmond
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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
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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
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Visual pattern recognition in humans
Biological Cybernetics, 1987We have investigated how observers learn to classify compound Gabor signals as a function of their differentiating frequency components. Performance appears to be consistent with decision processes based upon the least squares minimum distance classifier (LSMDC) operating over a cartesian feature space consisting of the real (even) and imaginary (odd ...
T, Caelli, I, Rentschler, W, Scheidler
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Visual pattern recognition using morphological methods
[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992An effective method for visual pattern recognition using morphological techniques is presented. It is shown that it can be successfully used for the recognition of deformed letters. The method extracts morphological information by the successive dilation of an idealized letter set. At each stage a properly defined similarity index is computed.
I.N.M. Papadakis +2 more
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Visual pattern based object recognition system
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. The International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, 2002We investigate a knowledge model for our previously proposed approach to object recognition based on low level pattern features (W. Zhang and A. Ralescu, 1994). This knowledge includes rules which can deal with situations in which an object may be occluded.
W. Zhang, A. Ralescu
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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.
Victor Jacobson +3 more
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Recognition of visual pattern components in squirrel monkeys
European Archives of Psychiatry and Neurological Sciences, 1986In 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 ...
M, Herzog, S, Hopf
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Visual Pattern Recognition: Size Preprocessing Re-Examined
The Quarterly Journal of Experimental Psychology Section A, 1983Template theories of visual pattern recognition assume the operation of preprocessing routines to deal with irrelevancies such as discrepancies in stimulus size. In three experiments where size was an irrelevant dimension, observers classified pairs of forms as either “same” or “different”.
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Pattern Recognition with the Optic Nerve Visual Prosthesis
Artificial Organs, 2003Abstract: A volunteer with retinitis pigmentosa and no residual vision was chronically implanted with an optic nerve electrode connected to an implanted neurostimulator and antenna. An external controller with telemetry was used for electrical activation of the nerve which resulted in phosphene perception.
Claude, Veraart +4 more
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