In this paper, a combination of fast and cooperative modular neural nets to enhance the
performance of the detection process is introduced. I have applied such approach …

Recently, fast neural networks for object/face detection were presented in [1-3]. The speed
up factor of these networks relies on performing cross correlation in the frequency domain …

In this paper, a new approach to reduce the computation time taken by fast neural nets for
the searching process is presented. The principle of divide and conquer strategy is applied …

This paper presents an intelligent approach to detect unknown malicious codes by using
new high speed time delay neural networks. The entire data are collected together in a long …

Neural networks have shown good results for detecting a certain pattern in a given image. In
this paper, fast neural networks for pattern detection are presented. Such processors are …

Neural networks have shown good results for detection of a certain pattern in a given image.
In our previous work, a fast algorithm for object/face detection was presented. Such …

Finding an object or a face in the input image is a search problem in the spatial domain.
Neural networks have shown good results for detecting a certain face/object in a given …

Principal component analysis (PCA) has different important applications, especially in
pattern detection such as face detection and recognition. In real-time applications, response …

Image processing is a vast area in the research field nowadays. This paper is a fleeting
review on various technologies implemented to satisfy different image processing tasks like …

In recent years, fast neural networks for object/face detection have been introduced based
on cross correlation in the frequency domain between the input matrix and the hidden …