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Genetic optimisation of illumination compensation methods in cascade for face recognitionELECTRONICS LETTERSELECTRON LETT
(INST ENGINEERING TECHNOLOGY-IET, 2016)
Usefulness of discriminability and response bias indices for the evaluation of recognition memory in mild cognitive impairment and Alzheimer disease
(Dementia and Geriatric Cognitive Disorders, 2018)
THE RESPECT SCORE. THE DEMAND FOR RECOGNITION IN YOUTH SUBJECTIVITIESLA PARTITURA DEL RESPETO. LA DEMANDA DE RECONOCIMIENTO DE LAS SUBJETIVIDADES JUVENILES
(Centro de Investigaciones y Estudios sobre Cultura y Sociedad, 2015)
Multielemental analysis and classification of amaranth seeds according to their botanical origin
(American Chemical Society, 2011-09)
The characterization of amaranth seeds (Amaranthus spp.) was developed for Amaranthus hypochondriacus, Amaranthus cruentus, and Amaranthus dubius. The elemental concentrations were determined by inductively coupled plasma ...
Recognition and rationality in Ethics and dialogue by Albrecht WellmerReconocimiento y racionalidad en Ética y diálogo, de Albrecht Wellmer
(Sistema Editorial y de Difusión de la Investigación (SIEDIN), Universidad de Costa Rica, 2020)
Joint PLDA for Simultaneous Modeling of Two Factors
(Microtome, 2019-01)
Probabilistic linear discriminant analysis (PLDA) is a method used for biometric problems like speaker or face recognition that models the variability of the samples using two latent variables, one that depends on the class ...
Data mining applied to forensic speaker identification
(Institute of Electrical and Electronics Engineers, 2015-04-13)
In this paper we analyze the advantages of using data mining techniques and tools for data fusion in forensic speaker recognition. Segmental and suprasegmental features were employed in 28 different classifiers, in order ...
Abnormal event detection in video using motion and appearance information
(Springer Verlag, 2018)
This paper presents an approach for the detection and localization of abnormal events in pedestrian areas. The goal is to design a model to detect abnormal events in video sequences using motion and appearance information. ...