Most pattern classification techniques are focused on solving closed-set problems in which a
classifier is trained with samples of all classes that may appear during the testing phase. In …

The large scale of the recently demanded biometric systems has put a pressure on creating
a more efficient, accurate, and private biometric solutions. Iris biometrics is one of the most …

Indexing of iris data is required to facilitate fast search in large-scale biometric systems.
Previous works addressing this issue were challenged by the tradeoffs between accuracy …

Classifiers have known to be used in various fields of applications. However, the main
problem usually found recently is about applying a classifier to large datasets. Thus, the …

Biometric recognition is the automated recognition of individuals based on their behavioral
or biological characteristics. Beside forensic applications, this technology aims at replacing …

Estimating genetic parameters is necessary both for determining the best traits to select for
(higher heritability would result in more genetic gain in the next generation) and for …

The desertification is the process of degradation of the lands of arid regions, semiarid and
dry sub humid, resulting of different factors, among them, the climatic variation and human …

Abstract The Optimum-Path Forest (OPF) is a framework for the design of graph-based
classifiers, which covers supervised, semisupervised, and unsupervised applications. The …

Devido a crescente exigência de se estabelecer a identidade dos indivıduos, várias
estratégias têm sido propostas visando superar as limitaçoes da abordagem tradicional …