Cette étude se propose de dégager les liens étroits qui unissent la production picturale des anciens Pays-Bas des XVe et XVIe siècles avec la mystique de Ruysbroeck l’Admirable et la pensée de la Dévotion moderne (devotio moderna). À partir d’un corpus comprenant des oeuvres de Jan van Eyck, Rogier van der Weyden, Petrus Christus, Hans Memling, Hugo van der Goes, le Maître à la vue de Sainte-Gudule, le Maître de 1499, le Maître d’Alkmaar, Jérôme Bosch ou encore Gérard David et Jan Mostaert, l’analyse fait apparaître que peinture et écrits se répondent et se subliment mutuellement. Dans une première partie, nous observerons la façon dont les peintres ont décliné la progression dynamique des différentes visions (active, intérieure et contemplative) et traité le phénomène de désimagination. Puis, dans un deuxième temps, notre étude mettra en lumière que l’image soutient grâce à différents procédés (mnémotechnique, participatif, etc.) les pratiques spirituelles et méditatives des fidèles. Enfin dans la dernière phase de notre analyse, nous nous intéresserons aux mises en images d’une idée clé définie par Ruysbroeck l’Admirable, et adaptée par les auteurs de la Dévotion moderne : dat ghemeine leven (la vie commune). / This study intends to investigate and clarify the links between the Early Netherlandish pictorial tradition (15th and 16th centuries) and mystical literature as exemplified by Ruysbroeck the Admirable and the authors associated with the Modern Devotion (devotio moderna). Focusing on a corpus of works by Jan van Eyck, Rogier van der Weyden, Petrus Christus, Hans Memling, Hugo van der Goes, the Master of the View of St Gudule, the Master of 1499, the Master of Alkmaar, Hieronymus Bosch, Gerard David and Jan Mostaert, this analysis brings to light that painting and writing enrich each other’s meaning. In the first part, we shall observe the ways in which the painters captured the dynamic progression of the various types of vision (active, internal and contemplative) as well as the ways in which they addressed the phenomenon of disimagination. The second part of this study will highlight the fact that the image supports the spiritual and meditative practices of the faithful through various processes and techniques (mnemonic, participative etc.). The third part of the analysis will focus on the visual treatment of a key idea defined by Ruysbroeck the Admirable, and adapted by the authors of the Modern Devotion: dat ghemeine leven (the common life).

This PhD thesis deals with the use of structural methods of objects identification for industrial robots operation. First, the present state of knowledge in the field is described, i.e. the whole process of objects recognition with the aid of common methods of the syntactic analysis. The main disadvantage of these methods is that is impossible to recognize objects whose digitalized image is corrupted in some ways (due to excessive noise or image disturbances), objects are therefore deformed. Further, other methods for the recognition of deformed objects are described. These methods use structural description of objects for object recognition, i.e. methods which determine the distance between attribute descriptions of images. The core part of this PhD thesis begins in Chapter 5, where deformation grammars, capable of description of all possible object deformations, are described. The only complication in the analysis is the ambiguity of the deformation grammar, which lowers the effectiveness of the analysis. Further, PhD thesis deals with the selection and modification of a proper parser, which is able to analyze a deformation grammar effectively. Three parsers are described: the modified Earley parser, the modified Tomita parser and the modified hybrid LRE(k) parser. As for the modified Earley’s parser, ways of its effective implementation are described. One of the necessary parts of the object recognition is providing the invariances, which this PhD thesis covers in detail, too. Finally, the results of described algorithms are mentioned (successfulness and speed of deformed objects recognition) and suggested testing environment and implemented algorithms are described. In conclusion, all determined possibilities of deformation grammars and their results are summarized.

This study evaluates the performance of Kotlin and Java on Android Runtime using four benchmarks from the Computer Language Benchmarks Game suite, for which a total of 12 benchmark implementations are studied. The metrics used to evaluate the performance includes runtime, memory consumption, garbage collection, boxing of primitives as well as bytecode n-grams. To benchmark the languages, a benchmark application has been developed intended to run on an Android phone. The results indicate that Kotlin is slower than Java for all studied benchmarks by a varying factor. Furthermore, the use of idiomatic Kotlin features and constructs results in additional heap pressure and the need of boxed primitives. Other interesting results indicate the existence of an underlying garbage collection overhead when reclaiming Kotlin objects compared to Java. Furthermore, Kotlin produces larger and more varied bytecode than Java for a majority of the benchmarks. / Denna studie utvärderar prestandan mellan Kotlin och Java på Android Runtime genom 12 implementationer av fyra benchmarks från The Computer Language Benchmarks Game. De mätvärden som använts för att utvärdera prestandan inkluderar körtid, minnesanvändning, garbage collection, boxing av primitiver samt bytekod n-grams. För att benchmarka språken har en benchmarkapplikation tagits fram för Android. Resultaten visar att Kotlin är långsammare än Java för samtliga benchmarks. Vidare resulterar användandet av idiomatiska Kotlin-funktioner i ökad minnesanvänding samt behovet att representera primitiver som klasser. Andra intressanta resultat inkluderar existensen av en overhead för garbage collectorn för frigörandet av objekt som allokerats av Kotlin jämfört med Java. Vidare producerar Kotlin större bytekodfiler och uppvisar mer varierad bytekod än Java för en majoritet av de benchmarks som studerats.

The focus of this thesis is on facial biometrics; specifically in the problems of face detection and face recognition. Despite intensive research over the last 20 years, the technology is not foolproof, which is why we do not see use of face recognition systems in critical sectors such as banking. In this thesis, we focus on three sub-problems in these two areas of research. Firstly, we propose methods to improve the speed-accuracy trade-off of the state-of-the-art face detector. Secondly, we consider a problem that is often ignored in the literature: to decrease the training time of the detectors. We propose two techniques to this end. Thirdly, we present a detailed large-scale study on self-updating face recognition systems in an attempt to answer if continuously changing facial appearance can be learnt automatically. / L'objectiu d'aquesta tesi és sobre biometria facial, específicament en els problemes de detecció de rostres i reconeixement facial. Malgrat la intensa recerca durant els últims 20 anys, la tecnologia no és infalible, de manera que no veiem l'ús dels sistemes de reconeixement de rostres en sectors crítics com la banca. En aquesta tesi, ens centrem en tres sub-problemes en aquestes dues àrees de recerca. En primer lloc, es proposa mètodes per millorar l'equilibri entre la precisió i la velocitat del detector de cares d'última generació. En segon lloc, considerem un problema que sovint s'ignora en la literatura: disminuir el temps de formació dels detectors. Es proposen dues tècniques per a aquest fi. En tercer lloc, es presenta un estudi detallat a gran escala sobre l'auto-actualització dels sistemes de reconeixement facial en un intent de respondre si el canvi constant de l'aparença facial es pot aprendre de forma automàtica.