Buscar
Mostrando ítems 1-10 de 12212
Face recognition using local mapped pattern and genetic algorithms
(2018-08-15)
Facial recognition is one of the most used biometric technologies in automated systems which ensure a person’s identity for authorizes access and monitoring. The acceptance of face use has several advantages over other ...
A Realistic Simulation Tool for Testing Face Recognition Systems under Real-World Conditions
(2012-12-17)
In this article, a tool for testing face recognition systems under
uncontrolled conditions is proposed. The key elements of this tool are a
simulator and real face and background images taken under real-world
conditions ...
Parkinson's disease identification through Optimum-Path Forest
(2010-12-01)
Artificial intelligence techniques have been extensively used for the identification of several disorders related with the voice signal analysis, such as Parkinson's disease (PD). However, some of these techniques flaw by ...
Parkinson's disease identification through Optimum-Path Forest
(2010-12-01)
Artificial intelligence techniques have been extensively used for the identification of several disorders related with the voice signal analysis, such as Parkinson's disease (PD). However, some of these techniques flaw by ...
Face Recognition with Local Binary Patterns, Spatial Pyramid Histograms and Naive Bayes Nearest Neighbor Classification
(IEEE, 2009)
Face recognition algorithms commonly assume that face images are well aligned and have a similar pose -- yet in many practical applications it is impossible to meet these conditions. Therefore extending face recognition ...
The legal recognition of marriage under Chilean lawDE LA INEXISTENCIA DEL MATRIMONIO EN EL DERECHO CHILENO
(Universidad Austral de Chile, Facultad de Ciencias Jurídicas y Sociales., 2006)
Memory Distortion and Its Avoidance: An Event-Related Potentials Study on False Recognition and Correct Rejection
Memory researchers have long been captivated by the nature of memory distortions and have made efforts to identify the neural correlates of true and false memories. However, the underlying mechanisms of avoiding false ...
Action recognition in video using sparse coding and relative features
(2016)
This work presents an approach to category-based action recognition in video using sparse coding techniques. The proposed approach includes two main contributions: i) A new method to handle intra-class variations by ...