We review more than 200 applications of neural networks in image processing and discuss
the present and possible future role of neural networks, especially feed-forward neural …

An historical discussion is provided of the intellectual trends that caused nineteenth century
interdisciplinary studies of physics and psychobiology by leading scientists such as …

A new definition of scale-space is suggested, and a class of algorithms used to realize a
diffusion process is introduced. The diffusion coefficient is chosen to vary spatially in such a …

A neural network architecture for the learning of recognition categories is derived. Real-time
network dynamics are completely characterized through mathematical analysis and …

Artificial neural systems | Guide books skip to main content ACM Digital Library home ACM
Association for Computing Machinery corporate logo Google, Inc. (search) Advanced Search …

Describing non-parametric and parametric theoretic classification and the training of
discriminant functions, this second edition includes new and expanded sections on neural …

We describe a new theory explaining the perception of partly occluded objects and illusory
figures, from both static and kinematic information, in a unified framework. Three ideas guide …

It is well known that visual cortical neurons respond vigorously to a limited range of stimulus
orientations, while their primary afferent inputs, neurons in the lateral geniculate nucleus …

A widely used model of simultaneous luminance pattern masking is based on mechanisms
that sum inputs linearly and produce a response that is an S-shaped function of that sum …

The current applications of neural networks to in vivo medical imaging and signal
processing are reviewed. As is evident from the literature neural networks have already …