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FIT-SURAcad. year: 2020/2021
The tasks of classification and pattern recognition, basic schema of a classifier, data and evaluation of individual methods, statistical pattern recognition, feature extraction, multivariate Gaussian distribution,, maximum likelihood estimation, Gaussian Mixture Model (GMM), Expectation Maximization (EM) algorithm, linear classifiers, perceptron, Gaussian Linear Classifier, logistic regression, support vector machines (SVM), feed-forward neural networks, convolutional and recurrent neural networks, sequence classification, Hidden Markov Models (HMM). Applications of the methods of speech and image processing.
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Specification of controlled education, way of implementation and compensation for absences
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specialization NADE , any year of study, summer semester, electivespecialization NBIO , any year of study, summer semester, electivespecialization NGRI , any year of study, summer semester, electivespecialization NNET , any year of study, summer semester, electivespecialization NVIZ , any year of study, summer semester, electivespecialization NCPS , any year of study, summer semester, electivespecialization NSEC , any year of study, summer semester, electivespecialization NEMB , any year of study, summer semester, electivespecialization NHPC , any year of study, summer semester, electivespecialization NISD , any year of study, summer semester, electivespecialization NIDE , any year of study, summer semester, electivespecialization NISY , any year of study, summer semester, compulsoryspecialization NMAL , any year of study, summer semester, compulsoryspecialization NMAT , any year of study, summer semester, electivespecialization NSEN , any year of study, summer semester, electivespecialization NVER , any year of study, summer semester, electivespecialization NSPE , any year of study, summer semester, compulsory
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