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Evaluation of numerical representations suitability for overlap detection
Pleskačová, Barbora ; Maděránková, Denisa (referee) ; Jugas, Robin (advisor)
The bachelor´s thesis is focused on the evaluation of numerical representations suitability for overlap detection. Introductory part deals with description of deoxyribonucleic acid structure. The next part discribes sequencing methods and genome assembly techniques. Following part deals with numerical representations that convert DNA sequences into numerical form. Based on similarity metrics, the use of these representations is tested for the detection of overlaps between DNA reads. In the practical part of the thesis an algorithm for overlap detection is designed and implemented using numerical representations. The algorithm is then tested on data.
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Image search using similarity measures
Harvánek, Martin ; Mašek, Jan (referee) ; Burget, Radim (advisor)
There are these methods implemented: circular sectors, color moments, color coherence vector and Gabor filters, they are based on low-level image features. These methods were evaluated after their optimal parameters were found. The finding of optimal parameters of methods is done by measuring of classification accuracy of learning operators and usage of operator cross validation on images in program RapidMiner. Implemented methods are evaluated on these image categories - ancient, beach, bus, dinousaur, elephant, flower, food, horse, mountain and natives, based on total average precision. The classification accuracy result is increased by 8 % by implemented modification (HSB color space + statistical function median) of original method circular sectors. The combination of methods color moments, circular sectors and Gabor filters with weighted ratio gives the best total average precision at 70,48 % and is the best method among all implemented methods.
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Evaluation of numerical representations suitability for overlap detection
Pleskačová, Barbora ; Maděránková, Denisa (referee) ; Jugas, Robin (advisor)
The bachelor´s thesis is focused on the evaluation of numerical representations suitability for overlap detection. Introductory part deals with description of deoxyribonucleic acid structure. The next part discribes sequencing methods and genome assembly techniques. Following part deals with numerical representations that convert DNA sequences into numerical form. Based on similarity metrics, the use of these representations is tested for the detection of overlaps between DNA reads. In the practical part of the thesis an algorithm for overlap detection is designed and implemented using numerical representations. The algorithm is then tested on data.
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|
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Image search using similarity measures
Harvánek, Martin ; Mašek, Jan (referee) ; Burget, Radim (advisor)
There are these methods implemented: circular sectors, color moments, color coherence vector and Gabor filters, they are based on low-level image features. These methods were evaluated after their optimal parameters were found. The finding of optimal parameters of methods is done by measuring of classification accuracy of learning operators and usage of operator cross validation on images in program RapidMiner. Implemented methods are evaluated on these image categories - ancient, beach, bus, dinousaur, elephant, flower, food, horse, mountain and natives, based on total average precision. The classification accuracy result is increased by 8 % by implemented modification (HSB color space + statistical function median) of original method circular sectors. The combination of methods color moments, circular sectors and Gabor filters with weighted ratio gives the best total average precision at 70,48 % and is the best method among all implemented methods.
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