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PAAP 2015 will provide a forum for scientists and engineers in academia and industry to present their research results and development activities in all aspects of parallel architectures, algorithms and programming techniques.
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Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed MOOC on Coursera, this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of both biology and computer science. Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on the Rosalind Bioinformatics Textbook Track. A website augments the textbook by providing additional educational materials, including video lectures and PowerPoint slides. -- Book website.
Bioinformatics. --- Computational biology. --- Computer algorithms.
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Le Big Data est omniprésent dans les médias. Qualifié de source d'innovation, de richesses, de création d'emplois, d'enjeu démocratique quand il est « open », le Big Data fascine et effraye à la fois. Mais de quoi parle-t-on exactement ? Ces données massives sont-elles du seul domaine des informaticiens, des statisticiens, des politiques et des créateurs d'entreprises ? Les professionnels de l'information-documentation n'ont-ils pas un rôle à jouer dans ce nouveau paysage : identification, qualification, archivage, classification ? Cet ouvrage rassemble les contributions de spécialistes issus de diverses disciplines et réunis au colloque Inria en octobre 2014. Dans le flou lié à la mutation profonde que connaît actuellement le paysage informationnel, ils donnent les clés pour appréhender ce nouveau domaine et pour percevoir la place réservée aux compétences métier de l'information-documentation.
Big data. --- Databases. --- Computer algorithms.
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Machine learning --- Computer algorithms --- Apprentissage automatique --- Algorithmes
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Annotation DSP theory, algorithms and implementations, Image and video processing, Audio processing, Digital Television and stereovision, Multimedia data compression and editing, data bases, Electroacoustics, Psychoacoustics, Sound mastering, Human computer interfaces, Image synthesis, analysis and recognition, Filter design and implementation, Vision and audio based diagnosis in medicine and industry, Text to speech & speech to text algorithms, Artificial intelligence applications in DSP, Distributed and networked DSP systems, Virtual and augmented reality, Biometrics.
Signal processing --- Computer algorithms --- Digital techniques
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This symposium focuses on research topics related to efficient algorithms and data structures for discrete problems. In addition to the design of such methods and structures, the scope also includes their use, performance analysis, and the mathematical problems related to their development or limitations. Performance analyses may be analytical or experimental and may address worst-case or expected-case performance. Studies can be theoretical or based on data sets that have arisen in practice and may address methodological issues involved in performance analysis.
Computer algorithms --- Discrete mathematics and graph theory
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Computer algorithms. --- Interpolation. --- Curve fitting --- Computer programs.
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Computer algorithms. --- Interpolation. --- Curve fitting --- Computer programs.
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