1,013 research outputs found

    Adversarial Learning of Mappings Onto Regularized Spaces for Biometric Authentication

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    We present AuthNet: a novel framework for generic biometric authentication which, by learning a regularized mapping instead of a classification boundary, leads to higher performance and improved robustness. The biometric traits are mapped onto a latent space in which authorized and unauthorized users follow simple and well-behaved distributions. In turn, this enables simple and tunable decision boundaries to be employed in order to make a decision. We show that, differently from the deep learning and traditional template-based authentication systems, regularizing the latent space to simple target distributions leads to improved performance as measured in terms of Equal Error Rate (EER), accuracy, False Acceptance Rate (FAR) and Genuine Acceptance Rate (GAR). Extensive experiments on publicly available datasets of faces and fingerprints confirm the superiority of AuthNet over existing methods

    Method and apparatus for image recognition

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    The present disclosure relates to an apparatus for image recognition. The apparatus comprises a machine learning network configured to map first and second input image data to either a first or a second predefined target probability distribution, depending on whether the first and second input image data correspond to matching or non-matching images, wherein an output of the machine learning network matching the first target probability distribution is indicative of matching images and an output of the machine learning network matching the second target probability distribution is indicative of non-matching images. The present disclosure also relates to a method for training the apparatus for image recognition

    Author Lev Raphael reads from his work at the Michigan Writers Series

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    Internationally acclaimed author and Greater Lansing resident, Lev Raphael, reads from his memoir "My Germany". He recounts his travels to the NAZI labor camp where his mother was held during World War II and coming to terms with his mother's traumatic past. Introduced by Michigan State University Librarian Michael Rodriguez at an event held at the MSU Main Library. Part of the Michigan State University Libraries' Michigan Writers Series

    Selected papers of Lev P Gor'kov

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    The author of this unique volume, Lev P Gor'kov is internationally renowned for his seminal contribution in the fundamentals of the Theory of Superconductivity, Theory of Metals, the field of Quantum Statistical Physics, and more generally, Organic Metals and the like. Each reprints' group is preceded by the author's introductions and commentaries clarifying the formulation of a problem, summarizing the essence of the results and placing them in the context of recent developments. The author belongs to the last generation of scientists who were the direct disciples of the legendary Russian theorist Lev Landau. And Gor'kov's achievements reflect the unique style and the originality of this famous Scientific School. As with other Russian scientists of his generation, many of the pioneering papers by Lev Gor'kov have been published in the Russian journals that are hard-to-reach for modern readers, students and postdocs. Allowing readers a glimpse into the various ways that the field of condensed matter physics was evolving for more than half a century, the volume is a valuable source for historians of science.Readership: For researchers in condensed matter physics, including postdoctoral and advanced graduate students. It may also be of interest to historians of science, as well as the general public with a university level of education

    The class of the affine line is a zero divisor in the Grothendieck ring

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    We show that the class of the affine line is a zero divisor in the Grothendieck ring of algebraic varieties over complex numbers. The argument is based on the Pfaffian-Grassmannian double mirror correspondence.Peer reviewe

    Tekutá dělba moci aneb hledání odrazu politiky v zrcadle práva (Případová studie připravované právní úpravy národních individuálních sankcí v České republice)

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    The author demonstrates, using the example of the individual sanctions, the conflict between the social demand of flexibility and reactionary-effectivity of enforcing the political goals and social values in the complex world in form of sanctions against the individuals by the executive power, i.e. de facto punishments, with the traditional separation of powers according to which the decision-making (judgement) on punishments is exclusively role of the judiciary. The author is focusing especially on the Czech legislation-in-preparation of the individual sanctions of which the author is the legislative drafter. The case study of individual sanctions is used to demonstrate the liquidity of separation of powers in modern democratic state, following the ideas of Zygmut Bauman and his phenomenon of liquid society

    Icons of age of Lev Danylovych

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    В статті розглядається західноукраїнська іконографія часів Лева Даниловича. Автор доводить, що тогочасна іконографічна спадщина становить окреме історичне явище у західноукраїнському релігійному малярстві XIII ст.В статье рассматривается западноукраинская иконография времен Льва Даниловича. Автор доказывает, что иконографическое наследие того времени представляет собой обособленное историческое явление в западноукраинской религиозной живописи XIII ст.In paper has been considered Western Ukrainian iconography of age of Lev Danylovych. The author proved that iconography heritage iconography of age of Lev Danylovych had been separate historical phenomenon in Western Ukrainian religious painting of 13th century

    1915 Armenian Van Revolt According To The Lev Nikolayevich Tolstoy’s (Famous Russian Author) Daughter Alexsandra Lvovna Tolstaya’s Memories

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    In this article, it was evaluated the impressions and the information given about Armenian rebellion at Van according to the Alexsandra Lvovna Tolstaya’s Memories (Daughter of the famous Russian author Lev Nikolayevich Tolstoy) Where she came the last week of June in1915

    AI-aesthetics and the anthropocentric myth of creativity

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    Since the beginning of the 21st century, technologies like neural networks, deep learning and “artificial intelligence” (AI) have gradually entered the artistic realm. We witness the development of systems that aim to assess, evaluate and appreciate artifacts according to artistic and aesthetic criteria or by observing people’s preferences. In addition to that, AI is now used to generate new synthetic artifacts. When a machine paints a Rembrandt, composes a Bach sonata, or completes a Beethoven symphony, we say that this is neither original nor real art, but simply the complex imitation and reproduction of existing products of human culture. We face the old question concerning the nature of creativity: what kind of recombination of ideas, unusual analogies, and conceptual connections are considered the mark of originality? Can AI produce artworks? Could machines reach a point at which we consider them genuinely creative? We also need to investigate the challenges posed by AI-art to the notion of authoriality: Who is the author of an artificially generated artifact? An artificial system could be considered just an artist’s and a programmer’s tool. However, we are also fascinated by the idea of autonomous artificial creativity in the aesthetic domain, as a manifestation of highly intelligent behavior. This paper will try to define some key questions around what could it mean to consider a machine creative or even equipped with artistic intentionality
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