Detecting faces in cluttered backgrounds and real world has remained as an unsolved problem yet. In this paper, by using composition of some kind of independent features and one of the most common appearance based approaches, and multilayered perceptron (MLP) neural networks, not only some questions have been answered, but also the designed system achieved better performance rather than the pre...

This work presents a methodology for the combination and use of many simple features of di ering modalities that are extracted from the environment. There are two main ideas presented here, rst that it is important to consider all modalities for extracting sensory features and second, that useful information can be extracted without resorting to computationally expensive methods. Many useful fe...

The Ethiopian economy is based primarily on agriculture. Furthermore, due to Ethiopia's predominately agricultural economy, most Ethiopians are dependent agriculture in some way. In Ethiopia, traditional dishes including bread, injera, and soup commonly made from one of the plants, maize. Although growing maize, Wollo farmers experience low levels yield a variety problems. This study examines f...

This paper proposes a new probabilistic non-extensive entropy feature for texture characterization, based on a Gaussian information measure. The highlights of the new entropy are that it is bounded by finite limits and that it is non additive in nature. The non additive property of the proposed entropy makes it useful for the representation of information content in the non-extensive systems co...

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...