In this paper we propose a new and efficient texture feature extraction method: the
Segmentation-based Fractal Texture Analysis, or SFTA. The extraction algorithm consists in …

This dissertation investigates the system-centred evaluation of visual information retrieval
from generic photographic collections. The development of visual information retrieval …

The problem of identifying meaningful patterns in a database lies at the very heart of data
mining. A core objective of data mining processes is the recognition of inter-attribute …

Cattle muzzle classification can be considered as a biometric identifier to maintain the
livestock and guarantee the safety of cattle products. This paper presents a muzzle-based …

In this chapter we discuss how to take advantage of association rule mining to promote
feature selection from low-level image features. Feature selection can significantly improve …

Abstract Cattle Feature Extraction is the critical point in this paper which is considered as a
continual research for authors. The biometric identifier of cattle is its muzzle. Today …

The retrieval of multimedia data relies on a feature extractor to provide the intrinsic
characteristics (features) from the data, and a measure to quantify the similarity between …

Animal agricultures pays a great attention for saving the cattle because of the rapid growth of
the livestock. The critical point in this research is to classify large different groups of cattle's …

Although the possibility of asynchrony between different components of the speech
spectrum has been acknowledged, its potential effect on automatic speech recogniser …

This paper proposes a new feature extraction method: the Fast Fractal Stack, or FFS. The
extraction algorithm consists in decomposing the input grayscale image into a stack of …