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2D Texture Features
Pasáček, Václav ; Šiler, Ondřej (referee) ; Švub, Miroslav (advisor)
Because texture of object is very valuable information in computer vision, it is important to describe it somehow. And for this serve texture features. Optimal selection of features is very important for recognizing texture. In this bachelor thesis were used local binary patterns (LBP) as a method of gaining texture feature. In this method is not its value the texture feature, but histogram of percent occurrence values in the entire texture. To compare histograms there is used Euclidean distance, Bhattacharyya distance or Mahalanobis distance. Main purpose of this thesis is mutually comparing of texture clasification by several variants of LBP and evaluation of their outcomes by Euclidean distance, Bhattacharyya distance or Mahalanobis distance.
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Algorithms for anomaly detection in data from clinical trials and health registries
Bondarenko, Maxim ; Blaha, Milan (referee) ; Schwarz, Daniel (advisor)
This master's thesis deals with the problems of anomalies detection in data from clinical trials and medical registries. The purpose of this work is to perform literary research about quality of data in clinical trials and to design a personal algorithm for detection of anomalous records based on machine learning methods in real clinical data from current or completed clinical trials or medical registries. In the practical part is described the implemented algorithm of detection, consists of several parts: import of data from information system, preprocessing and transformation of imported data records with variables of different data types into numerical vectors, using well known statistical methods for detection outliers and evaluation of the quality and accuracy of the algorithm. The result of creating the algorithm is vector of parameters containing anomalies, which has to make the work of data manager easier. This algorithm is designed for extension the palette of information system functions (CLADE-IS) on automatic monitoring the quality of data by detecting anomalous records.
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Water Object Detection in Image
Čeloud, David ; Španěl, Michal (referee) ; Šilhavá, Jana (advisor)
Bachelor's thesis describes history of remote sensing, image data structure, their processing and analyzing. It defines mulstispectral space and explains basics of quantitative analysis and differences between supervised and unsupervised classification. Implementation section describes designing and developing of program, which will be able to open and process image data and detect water objects in him.
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Algorithms for anomaly detection in data from clinical trials and health registries
Bondarenko, Maxim ; Blaha, Milan (referee) ; Schwarz, Daniel (advisor)
This master's thesis deals with the problems of anomalies detection in data from clinical trials and medical registries. The purpose of this work is to perform literary research about quality of data in clinical trials and to design a personal algorithm for detection of anomalous records based on machine learning methods in real clinical data from current or completed clinical trials or medical registries. In the practical part is described the implemented algorithm of detection, consists of several parts: import of data from information system, preprocessing and transformation of imported data records with variables of different data types into numerical vectors, using well known statistical methods for detection outliers and evaluation of the quality and accuracy of the algorithm. The result of creating the algorithm is vector of parameters containing anomalies, which has to make the work of data manager easier. This algorithm is designed for extension the palette of information system functions (CLADE-IS) on automatic monitoring the quality of data by detecting anomalous records.
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Homology search using digital signal processing methods
Kamar, Yana ; Jugas, Robin (referee) ; Maděránková, Denisa (advisor)
Thesis includes the theoretical introduction to molecular biology and genetics on the necessary level, including a description of the structure of DNA and the homologous gene. Described are fixed and physic-chemical kinds of nucleotide mapping, methods for processing digital signals. Numerical representations of genes that were programmed in MATLAB: unwrapped and accumulated phases, density vectors. Using the unwrapped phase and density vectors with windows of different lengths was performed CDS searching in the entire genome by calculation metric distances (euclidean and canberian) and correlation. Also, using the metric distances, a homologous gene was found in more or less similar bacterial genomes. The result is the approximate threshold of distance (euclidean and canberian) using to find homologous genes in genome.
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DNS Data Analysis for Mobile Device Identification Purposes
Sporni, Alex ; Bartík, Vladimír (referee) ; Burgetová, Ivana (advisor)
This bachelor's thesis deals with the problem of identification of mobile devices based on DNS data analysis. The thesis provides a theoretical introduction to the computer communication model. This thesis explains the importance of DNS in the terms of network communication between devices, It also presents the provided data sets, which contain real communication of mobile devices. These data sets must be with a suitable technique parsed and stored in a database to provide better data manipulation techniques in the later stages of implementation. This work further describes individual techniques of data processing. It also depicts in detail the methodologies for evaluating the relevance of TF-IDF and the application of cosine similarity to identify the mobile devices. The main output of this work is the evaluation of the achieved results.
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Dynamic Time Warping in Biosignal Processing
Kubát, Milan ; Kozumplík, Jiří (referee) ; Klimek, Martin (advisor)
This work is dedicated to dynamic time warping in biosignal processing, especially it´s application for ECG signals. On the beginning the theoretical notes about cardiography are summarized. Then, the DTW analysis follows along with conditions and demands assessments for it’s successful application. Next, several variants and application possibilities are described. The practical part covers the design of this method, the outputs comprehension, settings optimization and realization of methods related with DTW
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Prediction of Shopper Behaviour
Kačo, Adam ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
The aim of this work is to create a model for predicting the behavior of those leaving. Such a model has many applications, both for brick-and-mortar stores and online stores. Benefits include, for example, customer satisfaction and comfort. In more detail, I am describing the basic issue of predicting the next products. I am describing recommender systems as a whole, as well as their basic categorization and the basics of the individual models of the recommender systems. I am describing model, that I have created, for the dataset, that I chose to use and a procedure for working with the given model to predict the next purchase. I am also presentimg the procedure of our implementation in detail, as well as the results of testing.
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Detection, Extraction and Measurement of the Length and Width of the Metacarpal Bones in Images
Paul, Daniel ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
Ľudské telo bolo po celé storočia bodom mnohých štúdií. Chceme zistiť všetko, čo je možné sa o nás dozvedieť, o tom, ako fungujeme a prečo tak fungujeme. Vedci nám poskytujú výskumy, ktoré objasňujú tieto otázky. Mali by sme byť súčasťou tohto výskumu a obohatiť naše vedomosti prispievaním do vedy. Preto bude táto práca zameraná na detekciu, extrakciu a meranie metakarpálnych kostí na obrázkoch. Táto práca poskytne čitateľovi vedomosti o určitých metódach spracovania obrazu a záprstných kostiach. Predstaví proces extrakcie ich kontúr a ukáže spôsob, ako merať ich šírku a výšku.
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Distribution of interpoint distances
Horská, Šárka ; Hlávka, Zdeněk (advisor) ; Komárek, Arnošt (referee)
This thesis investigates basic properties of the interpoint distances be- tween random vectors drawn from multinomial distribution. We also describe a possible application to testing sparse observations, i.e., a setup with small number of observations and large number of categories, where the classical χ2 -test cannot be recommended. As an alternative, utilizing the multinomial interpoint distances, we will present the test statistic proposed by Biswas and Ghosh (2014). 1
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