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Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction
(2009)
Pattern recognition methods have been successfully applied in several functional neuroimaging studies. These methods can be used to infer cognitive states, so-called brain decoding. Using such approaches, it is possible ...
A priori-driven multivariate statistical approach to reduce dimensionality of MEG signals
(2013)
A magnetoencephalography (MEG) multivariate data exploratory analysis is described and implemented that combines the variance criterion used in principal component analysis with some prior knowledge about the sensory ...
A multivariate statistical analysis of the developing human brain in preterm infants
(2007)
Preterm delivery accounts for 5% of all deliveries and its consequences contribute to significant individual, medical, and social problems. The neuroanatomical substrates of these disorders are not known, but are essential ...
Multivariate statistical differences of MRI samples of the human brain
(2007)
Multivariate statistical discrimination methods are suitable not only for classification but also for characterization of differences between a reference group of patterns and the population under investigation. In the ...
Maximum-uncertainty linear discrimination analysis of first-episode schizophrenia subjects
(2011)
Recent techniques of image analysis brought the possibility to recognize subjects based on discriminative image features. We performed a magnetic resonance imaging (MRI)-based classification study to assess its usefulness ...
A new ranking method for principal components analysis and its application to face image analysis
(2010)
In this work, we investigate a new ranking method for principal component analysis (PCA). Instead of sorting the principal components in decreasing order of the corresponding eigenvalues, we propose the idea of using the ...
Impact of designer knowledge in the interactive evolutionary optimisation of analogue CMOS ICs by using iMTGSPICE
(2019)
© The Institution of Engineering and Technology 2019.This Letter describes an innovative interactive evolutionary computational tool to optimise robust analogue complementary metal-oxide-semiconductor (CMOS) integrated ...
Comparing Ranking Methods for Tensor Components in Multilinear and Concurrent Subspace Analysis with Applications in Face Images
(2015)
© 2015 World Scientific Publishing Company.In the area of multi-dimensional image databases modeling, the multilinear principal component analysis (MPCA) and concurrent subspace analysis (CSA) approaches were independently ...
Analyzing the connectivity between regions of interest: An approach based on cluster Granger causality for fMRI data analysis
(2010)
The identification, modeling, and analysis of interactions between nodes of neural systems in the human brain have become the aim of interest of many studies in neuroscience. The complex neural network structure and its ...
Identification of psychopathic individuals using pattern classification of MRI images
(2011)
Background: Psychopathy is a disorder of personality characterized by severe impairments of social conduct, emotional experience, and interpersonal behavior. Psychopaths consistently violate social norms and bring considerable ...