National Repository of Grey Literature 14 records found  1 - 10next  jump to record: Search took 0.01 seconds. 
Reduction of Computation Cost in libSVM Using String Kernel Functions
Kubernát, Tomáš ; Sehnalová, Pavla (referee) ; Michlovský, Zbyněk (advisor)
The goal of this thesis was to implement four string functions into the library libSVM . Then apply series of tests with variable parameters values affecting the individual string functions using the library and string functions. Using the results of experiments the speed and success of clasification of my implementation of string functions in library libSVM was compared with the implementation of string functions in program kernels . In this thesis there are also described procedures of all tests along with measured data and their graphical representation.
Demonstrational Program for IZU Course
Míšová, Miroslava ; Rozman, Jaroslav (referee) ; Zbořil, František (advisor)
This bachelor's thesis deals with development of new study aplications for course Fundamentals of Artificial Intelligence. These aplications are based on the older version of JavaApplet, which use features, that are no longer supported. Each applicatoin was made acording to an object-oriented paradigm and than implemented. Special care was taken in order for the UI to be intuitive and easy to use and also for the aplication to be able to be further developed.
Detection of Object
Šenkýř, Ivo ; Richter, Miloslav (referee) ; Jirsík, Václav (advisor)
This diploma thesis deals with a problem of spores venturia inaequlis recognition. These spores are captured on a special tape which is then analyzed using a microscope. The tape can be analyzed by a laboratorian or by the program Sporedetect v3. This program provides functions for complete picture processing and object recognition. In this diploma thesis, there are also described ways to automatically control a sliding stage of a microscope utilizing motorized translation stages and linear actuators. The information about automatic control of a microscope stage was obtained from catalogues of the companies Standa and Edmundoptics.
Evaluation of Image Recognition
Kučerová, Pavla ; Mlích, Jozef (referee) ; Zemčík, Pavel (advisor)
This work deals with pattern recognition methods and possibilities of their evaluation. It involves design and implementation of the method comparing the influence of preprocessing to pattern recognition algorithms. The method was tested and evaluated for linear classification algorithm, k-Nearest Neighbors, AdaBoost and SVM.
Usage of advanced signal processing techniques for motor traffic safety enhancement
Beneš, Radek ; Říha, Kamil (referee) ; Atassi, Hicham (advisor)
This diploma thesis deals with the issue of the recognition of road signs in the video sequence. Such systems increase the traffic safety and are implemented by major car factories in the manufactured cars (Opel, BMW). First, the motivation for the utilisation of these systems is presented, followed by the survey of the current state of the art methods. Finally, a specific road-sign detection method is chosen and described in detail. The method uses advanced techniques of signal processing. Segmentation method in color space is used for sign detection and subsequent classification is accomplished by linear classification with optional use of PCA method. In addition, the method contains the prediction of road sign positions based on Kalman filtering. Implemented system yields relatively accurate results and overall analysis and discussion is enclosed.
Detection and Classification of Military Targets in a Videosignal
Košík, Michal ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
The aim of this thesis is to design and implement algorithms for detection and classification of distant targets. The reader will become familiar with algorithms for detection of a movement, namely image difeerentiation and an algorithm based on a Bayes classifier. In the following two possible ways of classification, one using support vector machines and the second one utilizing a set of linear classifiers, will be introduced. At the end of this thesis results of the algorithms will be described and evaluated.
Handwritten Digit Recognition Using Support Vector Machines
Hricko, Jozef ; Fapšo, Michal (referee) ; Plchot, Oldřich (advisor)
Thesis deals with the options of the hand-written digit and character recognition using open-source libraries. The kernel-based classifiers (support vector machines) are used for the recognition. Various algorithms of image processing and their implementation are shown in this work together with suggestions, how to effectively write reusable source code.
Demonstrational Program for IZU Course
Míšová, Miroslava ; Rozman, Jaroslav (referee) ; Zbořil, František (advisor)
This bachelor's thesis deals with development of new study aplications for course Fundamentals of Artificial Intelligence. These aplications are based on the older version of JavaApplet, which use features, that are no longer supported. Each applicatoin was made acording to an object-oriented paradigm and than implemented. Special care was taken in order for the UI to be intuitive and easy to use and also for the aplication to be able to be further developed.
Detection and Classification of Military Targets in a Videosignal
Košík, Michal ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
The aim of this thesis is to design and implement algorithms for detection and classification of distant targets. The reader will become familiar with algorithms for detection of a movement, namely image difeerentiation and an algorithm based on a Bayes classifier. In the following two possible ways of classification, one using support vector machines and the second one utilizing a set of linear classifiers, will be introduced. At the end of this thesis results of the algorithms will be described and evaluated.
Handwritten Digit Recognition Using Support Vector Machines
Hricko, Jozef ; Fapšo, Michal (referee) ; Plchot, Oldřich (advisor)
Thesis deals with the options of the hand-written digit and character recognition using open-source libraries. The kernel-based classifiers (support vector machines) are used for the recognition. Various algorithms of image processing and their implementation are shown in this work together with suggestions, how to effectively write reusable source code.

National Repository of Grey Literature : 14 records found   1 - 10next  jump to record:
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