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Image similarity measuring using deep learning
Štarha, Dominik ; Šeda, Pavel (referee) ; Rajnoha, Martin (advisor)
This master´s thesis deals with the reseach of technologies using deep learning method, being able to use when processing image data. Specific focus of the work is to evaluate the suitability and effectiveness of deep learning when comparing two image input data. The first – theoretical – part consists of the introduction to neural networks and deep learning. Also, it contains a description of available methods, their benefits and principles, used for processing image data. The second - practical - part of the thesis contains a proposal a appropriate model of Siamese networks to solve the problem of comparing two input image data and evaluating their similarity. The output of this work is an evaluation of several possible model configurations and highlighting the best-performing model parameters.
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Classification of instruments in approved United Nations Security Council resolutions in 1991-2019
Novotná, Barbora ; Parízek, Michal (advisor) ; Karlas, Jan (referee)
The goal of this thesis is to contribute to the debate concerning the rise of authority of International organizations (IOs) since the end of the cold war. This thesis works with the concepts of authority, "pooling" and "delegation" - these concepts describe how member states of IOs transmit their powers and competences to international organizations. This thesis deals with the study of state sovereignty and intrusiveness into state sovereignty as with the rise of globalization the importance of state territory decreases. State and non-state actors more and more with or without the consent of state actors interfere with state sovereignty of others. This work attempts to show this phenomenon on a study of approved United Nations Security Council resolutions between 1992 and 2019. From these resolutions were collected and categorized instruments according to how the Security Council interferes with state sovereignty by which it exercises its authority in the international system. A dataset was created consisting of approximately the third of all approved resolutions in this period (616 resolutions from 1778). In this dataset we can find almost 12 000 instruments categorized in 83 categories on the scale of index i from 0 to 5 according to how these instruments interfere with state sovereignty....
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Image similarity measuring using deep learning
Štarha, Dominik ; Šeda, Pavel (referee) ; Rajnoha, Martin (advisor)
This master´s thesis deals with the reseach of technologies using deep learning method, being able to use when processing image data. Specific focus of the work is to evaluate the suitability and effectiveness of deep learning when comparing two image input data. The first – theoretical – part consists of the introduction to neural networks and deep learning. Also, it contains a description of available methods, their benefits and principles, used for processing image data. The second - practical - part of the thesis contains a proposal a appropriate model of Siamese networks to solve the problem of comparing two input image data and evaluating their similarity. The output of this work is an evaluation of several possible model configurations and highlighting the best-performing model parameters.
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Financování transnacionálních korporací (vybrané otázky)
Šímová, Alena ; Jelínková, Eva (advisor) ; Korandová, Jiřina (referee)
Práce se zabývá transnacionálními korporacemi, zejména metodami jejich financování. Zaměřuje se hlavně na metody specifické pro tyto společnosti v porovnání s lokálně působícími podniky. V úvodu se zabývá obecnými charakteristikami transnacionálních korporací - jejich definováním, typy, statistickými údaji, jejich významem a vlivem na národní ekonomiky a etickými otázkami. V druhé části se zabývá strategiemi užívanými pro financování transnacionálních korporací, hlavně problematikou opatřování finančních zdrojů, centralizací finančních toků, využíváním inflačního vývoje a změn měnových kurzů a využíváním rozdílů v daňových systémech. Podrobněji je analyzována problematika multilateral nettingu, poolingu a transferových cen.
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