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	Handwritten Digit Recognition Using K-nearest Neighbor Horký, Vladimír ; Mikolov, Tomáš (referee) ; Plchot, Oldřich (advisor) This paper describes problems of handwritten digit recognition. Discuss about problems with solution of recognition by algorithm K-nearests neighbor. In second part there is described design and implementation of this method. Detailed record
	Analysis and Monitoring of Business Processes Procházková, Martina ; Zámečníková, Eva (referee) ; Pospíšil, Milan (advisor) This thesis includes study on Process Mining, Data Mining in general, classification and prediction methods, business process management and simulation. It also includes program made for creating simulation data and testing Process Mining methods. Detailed record
	Convolutional Neural Networks for Emotion Recognition Jileček, Jan ; Najman, Pavel (referee) ; Hradiš, Michal (advisor) Convolutional neural networks are used for various tasks, but foremost in machine learning, in which they excel. This work is going to introduce some existing frameworks, other algorithms for recognition and then we describe the training dataset creation and the model for emotion recognition training process. Mentioned model has accuracy of 60%. It is used for emotion statistics retrieval from movie trailers. Model for genre recognition is created from those statistics and then finally used in our application for genre recognition of the input trailer, with best accuracy of 47%. Detailed record
	Convolutional Neural Networks for Emotion Recognition Jileček, Jan ; Najman, Pavel (referee) ; Hradiš, Michal (advisor) Convolutional neural networks are used for various tasks, but foremost in machine learning, in which they excel. This work is going to introduce some existing frameworks, other algorithms for recognition and then we describe the training dataset creation and the model for emotion recognition training process. Mentioned model has accuracy of 60%. It is used for emotion statistics retrieval from movie trailers. Model for genre recognition is created from those statistics and then finally used in our application for genre recognition of the input trailer, with best accuracy of 47%. Detailed record
	Analysis and Monitoring of Business Processes Procházková, Martina ; Zámečníková, Eva (referee) ; Pospíšil, Milan (advisor) This thesis includes study on Process Mining, Data Mining in general, classification and prediction methods, business process management and simulation. It also includes program made for creating simulation data and testing Process Mining methods. Detailed record
	Handwritten Digit Recognition Using K-nearest Neighbor Horký, Vladimír ; Mikolov, Tomáš (referee) ; Plchot, Oldřich (advisor) This paper describes problems of handwritten digit recognition. Discuss about problems with solution of recognition by algorithm K-nearests neighbor. In second part there is described design and implementation of this method. Detailed record

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