Transcending Turing Computability
Minds and Machines
Natural computation and non-Turing models of computation
Theoretical Computer Science - Super-recursive algorithms and hypercomputation
A two-stage head pose estimation framework and evaluation
Pattern Recognition
Human Action Recognition Using a Modified Convolutional Neural Network
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Face recognition with disguise and single gallery images
Image and Vision Computing
An integrated two-stage framework for robust head pose estimation
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
Iris recognition: localization, segmentation and feature extraction based on gabor transform
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
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We review Gabor''s Uncertainty Principle and the limits it places on the representation of any signal. Representations in terms of Gabor elementary functions (Gaussian-modulated sinusoids), which are optimal in terms of this uncertainty principle, are compared with Fourier and wavelet representations. We also review Daugman''s evidence for representations based on two-dimensional Gabor functions in mammalian visual cortex. We suggest three-dimensional Gabor elementary functions as a model for motion selectivity in complex and hypercomplex cells in visual cortex. This model also suggests a computational role for low frequency oscillations (such as the alpha rhythm) in visual cortex.