Add to ORKGAn optical network is described that is capable of recognizing at standard video rates the identity of faces for which it has been trained. The faces are presented under a wide variety of conditions to the system and the classification performance is measured. The system is trained by gradually adapting photorefractive holograms
Abstract—Face recognition is an active field of research with many applications. This paper discusse...
Identification of individuals on the basis of facial features is the most natural method of distingu...
In this paper, a comparative study of application of supervised and unsupervised learning algorithms...
NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract is included in ...
We describe a two-layer neural network using holographic optical disks as the interconnection weight...
The capabilities of photorefractive crystals as media for holographic interconnections in neural net...
This paper describes a new optical processing devices that can handle large patterns and can accommo...
We describe the combination of neural network training and volume holographic storage technologies u...
An optical computer which performs the classification of an input object pattern into one of two lea...
In a holographic optical learning network, the decay of multiply exposed holographic interconnection...
Abstract. We show in this paper how Neural Networks can be used for Human Face Processing. In Part I...
The dense interconnections that characterize neural networks are most readily implemented using opti...
A new approach to learning in a multilayer optical neural network based on holographically interconn...
This paper presents experiments using an adaptive learning compo nent based on Radial Basis Function...
We present a neural network-based face detection system. A retinally connected neural network examin...
Abstract—Face recognition is an active field of research with many applications. This paper discusse...
Identification of individuals on the basis of facial features is the most natural method of distingu...
In this paper, a comparative study of application of supervised and unsupervised learning algorithms...
NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract is included in ...
We describe a two-layer neural network using holographic optical disks as the interconnection weight...
The capabilities of photorefractive crystals as media for holographic interconnections in neural net...
This paper describes a new optical processing devices that can handle large patterns and can accommo...
We describe the combination of neural network training and volume holographic storage technologies u...
An optical computer which performs the classification of an input object pattern into one of two lea...
In a holographic optical learning network, the decay of multiply exposed holographic interconnection...
Abstract. We show in this paper how Neural Networks can be used for Human Face Processing. In Part I...
The dense interconnections that characterize neural networks are most readily implemented using opti...
A new approach to learning in a multilayer optical neural network based on holographically interconn...
This paper presents experiments using an adaptive learning compo nent based on Radial Basis Function...
We present a neural network-based face detection system. A retinally connected neural network examin...
Abstract—Face recognition is an active field of research with many applications. This paper discusse...
Identification of individuals on the basis of facial features is the most natural method of distingu...
In this paper, a comparative study of application of supervised and unsupervised learning algorithms...