As a widely-used method in the image categorization tasks, the Bag-of-Words (BoW) method
still suffers from many limitations such as overlooking spatial information. In this paper, we …

This article proposes a new method for image classification and image retrieval. The
advantages of the proposed method are its high performance and requiring less memory …

Segmenting moving objects from various video streams especially in the presence of
complex dynamic backgrounds is one of the most pivotal and fundamental tasks in computer …

Abstract Radial Basis Function Neural Networks (RBFNNs) have been widely used for
classification and function approximation tasks. So, it is worthy to try improving and …

Histon and feature extracted by it, Basic Histon Roughness Index (BHRI), have been
previously employed in image segmentation and moving object detection with outstanding …

This article approaches scene classification problem by proposing an enhanced bag of
features (BoF) model and a modified radial basis function neural network (RBFNN) …

Multi-biometric feature-level fusion exploits feature information from more than one biometric
source to improve recognition performance and template security. When ordered and …

Face identification under small sample conditions is currently an active research area. In a
case of very few reference samples, optimally exploiting the training data to make a model …

This paper proposes a new framework for training radial basis function neural networks
(RBFNN). Determination of the centers of the Gaussian functions in the hidden layer of RBF …

Biometric identification systems are the commonly used systems forautomatically identifying
human beings based on behavioural and physiological features. The information generated …