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Internet search mechanisms and distortions of the semantic space: the scientific challenges facing the Googles
(2007)
Ever since the launch of Altavista, internet search engines have become a multi-billion dollar industry, with fierce competition between Google and the three major competitors. One of the challenges involved is to rank ...
CARA A CARA CON LA MUERTE: BUSCANDO EL SENTIDO/ FACE TO FACE WITH DEATH: SEARCHING FOR MEANING
(Psicología desde el Caribe, 2013)
Looking for a face in the crowd: Fixation-related potentials in an eye-movement visual search task
(Elsevier, 2013-12)
Despite the compelling contribution of the study of event related potentials (ERPs) and eye movements to cognitive neuroscience, these two approaches have largely evolved independently. We designed an eye-movement visual ...
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 ...
A contribution for single and multiple faces recognition using feature-based approaches
(Universidade Tecnológica Federal do ParanáCuritibaPrograma de Pós-Graduação em Engenharia Elétrica e Informática Industrial, 2013-06-28)
Among biometric recognition systems, face biometrics plays an important role in research activities and security applications since face images can be acquired without any knowledge of individuals. Nowadays a huge amount ...
Harmony Search applied for Support Vector Machines Training Optimization
(Ieee, 2013-01-01)
Since the beginning, some pattern recognition techniques have faced the problem of high computational burden for dataset learning. Among the most widely used techniques, we may highlight Support Vector Machines (SVM), which ...
Harmony search applied for support vector machines training optimization
(2013-12-04)
Since the beginning, some pattern recognition techniques have faced the problem of high computational burden for dataset learning. Among the most widely used techniques, we may highlight Support Vector Machines (SVM), which ...
Facial Geometry Identification through Fuzzy Patterns with RGBD Sensor
(Instituto Politécnico Nacional, 2016)
Visual words dictionaries and fusion techniques for searching people through textual and visual attributes
(Elsevier Science BvAmsterdamHolanda, 2014)