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Automatic classification of fish germ cells through optimum-path forest
(2011-12-26)
The spermatogenesis is crucial to the species reproduction, and its monitoring may shed light over some important information of such process. Thus, the germ cells quantification can provide useful tools to improve the ...
Fast identification of individuals based on iris characteristics for biometric systems
(2012-02-13)
Nowadays, systems based on biométrie techniques have a wide acceptance in many different areas, due to their levels of safety and accuracy. A biometrie technique that is gaining prominence is the identification of individuals ...
Automatic classification of fish germ cells through optimum-path forest
(2011-12-26)
The spermatogenesis is crucial to the species reproduction, and its monitoring may shed light over some important information of such process. Thus, the germ cells quantification can provide useful tools to improve the ...
Fast identification of individuals based on iris characteristics for biometric systems
(2012-02-13)
Nowadays, systems based on biométrie techniques have a wide acceptance in many different areas, due to their levels of safety and accuracy. A biometrie technique that is gaining prominence is the identification of individuals ...
Accuracy and Efficiency Performance of the ICP Procedure Applied to Sign Language Recognition
(Centro Latinoamericano de Estudios en Informática, 2014)
On accuracy estimation and comparison of results in biometric research
(IEEE, 2016)
The estimated accuracy of an algorithm is the most important element of the typical biometrics research publication. Comparisons between algorithms are commonly made based on estimated accuracies reported in different ...
Learning for Meta-Recognition
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2012)
Fast robot voice interface through optimum-path forest
(2012-10-01)
Voice-based user interfaces have been actively pursued aiming to help individuals with motor impairments, providing natural interfaces to communicate with machines. In this work, we have introduced a recent machine learning ...