Rapid development of computer hardware has enabled usage of automatic object recognition in an increasing number of applications, ranging from industrial image processing to medical applications, as well as tasks triggered by the widespread use of the internet. Each area of application has its specific requirements, and consequently these cannot all be tackled appropriately by a single, general-purpose algorithm. This easy-to-read text/reference provides a comprehensive introduction to the field of object recognition (OR). The book presents an overview of the diverse applications for OR and highlights important algorithm classes, presenting representative example algorithms for each class. The presentation of each algorithm describes the basic algorithm flow in detail, complete with graphical illustrations. Pseudocode implementations are also included for many of the methods, and definitions are supplied for terms which may be unfamiliar to the novice reader. Supporting a clear and intuitive tutorial style, the usage of mathematics is kept to a minimum. Topics and features: presents example algorithms covering global approaches, transformation-search-based methods, geometrical model driven methods, 3D object recognition schemes, flexible contour fitting algorithms, and descriptor-based methods; explores each method in its entirety, rather than focusing on individual steps in isolation, with a detailed description of the flow of each algorithm, including graphical illustrations; explains the important concepts at length in a simple-to-understand style, with a minimum usage of mathematics; discusses a broad spectrum of applications, including some examples from commercial products; contains appendices discussing topics related to OR and widely used in the algorithms, (but not at the core of the methods described in the chapters). Practitioners of industrial image processing will find this simple introduction and overview to OR a valuable reference, as will graduate students in computer vision courses. Marco Treiber is a software developer at Siemens Electronics Assembly Systems, Munich, Germany, where he is Technical Lead in Image Processing for the Vision System of SiPlace placement machines, used in SMT assembly.
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<p>Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech recognition (ASR) systems, which maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training / recognition effort feasible and improving speech recognition performance. The book provides an efficient general framework to incorporate additional knowledge sources into state-of-the-art statistical ASR systems. It can be applied to many existing ASR problems with their respective model-based likelihood functions in flexible ways.</p>
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Complexity is an essential property of software systems that increases in a non-linear fashion with the size of the software system. In software engineering, Model Driven Engineering (MDE) aims to alleviate this complexity by utilising models and modelling activities to raise the level of abstraction and to automate the production of artefacts. One specialised technique with this purpose is the model transformation, which allows the automated creation and modification of output models based on input models. As models and model transformations are used in a productive capacity, they underlie the same evolutionary pressure that conventionally build software systems do. Here the tight coupling between model transformations and metamodels becomes problematic, as changing the one often results in the need to check and adapt the other accordingly. This thesis presents an operator-based, stepwise approach to support software architects in the co-evolution of metamodels and model transformations. The approach allows the description of changes done to a metamodel and the automatic or semi-automatic resolution of the impact on related model transformations. Overall the effort needed for co-evolution is reduced.
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Bount hatte seinem Bekannten die Kawasaki zurückgegeben. Um halb neun morgens bog er mit June im 450 SEL in die Fletcher Street ein. Hier standen in der Nähe der Docks hässliche Mietskasernen. Im Hintergrund sah man Dockkrans bei den Piers aufragen. Die Straße war dreckig. Das Haus, in dem Beamster Unterschlupf gefunden hatte, war, wie von dem Silberköpfchen im Zero Club erwähnt, tatsächlich nicht zu verfehlen. Es gehörte zu einer Häuserzeile. Fahnen und mit Spruchparolen versehene Betttücher hingen aus den Fenstern. Die Wände waren mit Parolen besprüht. Bount hielt ein Stück vor dem Haus. »June, wir bleiben über Funk in Verbindung. Wenn es in dem Haus Krach gibt und du der Meinung bist, dass ich in Schwierigkeiten stecke, ruf das Überfallkommando. Klar?« »Natürlich, Chef.« June himmelte Bount an. »Du wagst dich wirklich allein hinein und willst Beamster herausholen?« »Sicher. Die politische Einstellung der Leute in diesem Haus ist deren Angelegenheit. Beamster ist ein Gangster. Deshalb will ich ihn holen. Ich denke, wenn es mir gelingt, den Hausbesetzern das zu erklären, kann nichts schief gehen.« »Deinen Optimismus möchte ich haben.« »Dem Mutigen gehört die Welt«, sagte Bount. »Wird schon schief gehen, June.« Diesmal hatte Bount keine Kampfausrüstung wie in der vergangenen Nacht in der Bronx. Er trug zwar seine Automatic in der Schulterhalfter, wollte sie aber nach Möglichkeit nicht gebrauchen. Er stieg aus, warf June eine Kusshand zu und schritt zu dem Haus. Dieser Band enthält folgende Krimis: (499) Alfred Bekker: Commissaire Marquanteur und die Mordkünstler von Marseille Earl Warren: Bount Reiniger oder Dynamit in den Fäusten Earl Warren: Bount Reiniger und die Yukon-Gang Earl Warren: Bount Reiniger und die Spur ins Pentagon
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The purpose of this paper is to explore the possible applications of Automata Theory and the technologies of the Fourth Industrial Revolution (particularly blockchain) to the field of Private Law, and particularly to the documentation of the rights and duties of individuals. Throughout its sections, a systematic definition of the digital asset is provided, and parallels and analogies are drawn between the algorithms that regulate the transmission of digital rights and legal rules. The existence of algorithms of a truly normative nature is explored. Some of these normative algorithms are limited to developing legislation of the corresponding State, while others, such as those residing in blockchains, configure a legal structure independent of any State authority that the author comes to call "algorithmic legal system". The book proposes, in its second half, the use of these normative algorithms to incorporate into cyberspace the transactions of real estate rights and the phenomenon of the legal person. In addition, proofs of concept are offered for a new Land Registry and a new Registry of Legal Entities with fully automatic operation.
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Precision Teaching (PT) is a behavioral method which stresses spontaneous, seemingly automatic behavior. This guarantees that learners with and without autism spectrum disorders (ASD) maintain the learned behavior, use it in novel situations, even when distracted. Critical elements of PT are described with programs of varying levels of complexity. The author discusses the critical elements of PT and provides case examples of children with autism spectrum disorder (ASD) including specific programs of varying complexity using the refined measurement of PT to promote fluency.
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The official tie-in novel to the Shadow of the Tomb Raider video game.In a brand-new adventure, Lara Croft must evade the agents of Trinity and discover an ancient secret. When a mysterious stranger offers to help Lara uncover a clue that could give her the upper hand, she embarks on an expedition to a system of caves in Colombia. However, once they learn of Lara's plans, Trinity will stop at nothing to reach the location first. Trinity believes they can turn the tables on Lara, but in the darkness of the underground caverns, there are terrors in the depths that neither Lara nor Trinity anticipated.
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Martina Devlin, an award-winning columnist for the Irish Independent and podcaster for Dublin City of Literature #CityofBooks, has delivered a new novel based on the life of Edith Somerville of 'Somerville and Ross' fame – authors of The Irish R.M. In this work, set during the turbulent period of Irish Independence 1921–22, Somerville finds herself at a crossroads. Her position as a member of the Ascendancy is perilous as she struggles to keep her family home, Drishane House in West Cork, while others are burned out. After years in a successful writing partnership with Violet Martin, Edith continues to write after her partner's death, comforted in the belief they continue to connect through automatic writing and séances. Against a backdrop of Civil War politics and lawlessness erupting across the country via IRA flying columns, people across Ireland are forced to consider where their loyalties lie. In Edith, Devlin limns a vivid historical context in this story of proto-feminist Edith Somerville courageously trying to keep home and heart in one piece. The story of Somerville and Ross is unique in the history of Irish women writers. Academic Shawn R. Mooney described these best-selling authors as 'undeniably New Women: single, educated and economically independent writers whose lives and literary collaboration were unique manifestations of late-nineteenth century feminist strivings toward political and sexual equality'. Devlin depicts Edith in the round, suffering from loss, striving for safety, and keeping hold of hope in this captivating narrative set in the early years of a nascent state — a triumph of ventriloquism rooted in a society on the cusp of change.
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