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Generating synthetic data for an assembly of police lineups
Dokoupil, Patrik ; Peška, Ladislav (advisor)
Eyewitness identification plays an important role during criminal proceedings and may lead to prosecution and conviction of a suspect. One of the methods of eyewitness identification is a police photo lineup when a collection of photographs is presented to the witness in order to identify the perpetrator of the crime. In the lineup, there is typically at most one photograph (typically exactly one) of the suspect and the remaining photographs are the so-called fillers, i.e. photographs of innocent people. Positive identification of the suspect by the witness may result in charge or conviction of the suspect. Assembly of the lineup is a challenging and tedious problem, because the wrong selection of the fillers may end up in a biased lineup, where the suspect will stand out from the fillers and would be easily identifiable even by a highly uncertain witness. The reason why it is tedious is due to the fact that this process is still done manually or only semi-automatically. This thesis tries to solve both issues by proposing a model that will be capable of generating synthetic data, together with an application that will allow users to obtain the fillers for a given suspect's photograph. 1
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Hybrid recommender systems for books domain
Varga, Ondřej ; Peška, Ladislav (advisor) ; Dokoupil, Patrik (referee)
The bachelor thesis deals with the topic of recommender systems, which are especially important in e-commerce field. The main goal of the thesis was to implement a recom- mender system that would cover the needs of recommending in the book domain (on an e-shop dealing with book sales). The focus of the work is the implemented recommender system that handles the data available for the book domain, however, it is designed more generally to be deployable as Recommendation-as-a-Service. The system includes both the recommendation algorithms themselves (collaborative, content-based and hybrid), as well as support for the different phases of the recommendation lifecycle, recommendation performance monitoring and easy administration through an interactive web interface. We then evaluated the recommendation algorithms, with experiments showing that collaborative methods, in particular ALS matrix factorization and ELSA, perform better with respect to relevance metrics. However, hybrid approaches and content-based methods may have advantages with respect to beyond accuracy metrics, especially Coverage and Novelty. 1
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Generating synthetic data for an assembly of police lineups
Dokoupil, Patrik ; Peška, Ladislav (advisor) ; Škoda, Petr (referee)
Eyewitness identification plays an important role during criminal proceedings and may lead to prosecution and conviction of a suspect. One of the methods of eyewitness identification is a police photo lineup when a collection of photographs is presented to the witness in order to identify the perpetrator of the crime. In the lineup, there is typically at most one photograph (typically exactly one) of the suspect and the remaining photographs are the so-called fillers, i.e. photographs of innocent people. Positive identification of the suspect by the witness may result in charge or conviction of the suspect. Assembly of the lineup is a challenging and tedious problem, because the wrong selection of the fillers may end up in a biased lineup, where the suspect will stand out from the fillers and would be easily identifiable even by a highly uncertain witness. The reason why it is tedious is due to the fact that this process is still done manually or only semi-automatically. This thesis tries to solve both issues by proposing a model that will be capable of generating synthetic data, together with an application that will allow users to obtain the fillers for a given suspect's photograph. 1
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PaunPacker - Texture Atlas Generator
Dokoupil, Patrik ; Ježek, Pavel (advisor) ; Pelikán, Josef (referee)
The goal of this thesis was to create an extensible application for packing textures into texture atlases, that could then be used in 2D game development. The extensibility lies in the possibility to create and import plugins, containing algorithms for packing, image processing, and metadata exporting. The ability to extend the application by means of plugins makes our application also suitable for testing of newly invented algorithms or for testing of custom variations of the existing ones. The software solution includes application with user interface that allows the user to create texture atlases and perform additional processing of the textures. Apart from that, we have also included several default implementations of some of the extensible components, namely: placement algorithms, image processing tools and metadata exporters. The concrete algorithms that are implemented in our solution are (among others): Bottom-left algorithm, Skyline algorithm, Guillotine algorithm and also a genetic-based algorithm. All of that can be used as a starting point when developing new plugins. In addition to generating texture atlases, our application can also generate meta- data, that can then be imported by supported game frameworks or libraries. The process of metadata serialization is also customizable, and so users...
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