maslov igor (10 risultati)

108 pp.; 24.4 x 21.5 cm; glue bound; black-and-white & color; edition size unknown; unsigned and unnumbered; offset-printed; Exhibition catalogue published in conjunction with show held at the Joel and Lila Harnett Museum of Art, University of Richmond Museums, Virginia, September 12 to December 3, 2006. Traveled to Faulconer Gallery, Grinnell College, Iowa, March 9 - April 22, 2007 and Samek Art Gallery, Bucknell University, Lewisburg, Pennsylvania, October 24 - December 9, 2008. Texts by Evgeny Orlov, Sergei Kovalsky, Joseph C. Troncale. Artists include Vyacheslav Afonichev, Viktor Andreev, Alexsandr Arefiev, Leonid Bolmat, Leonid Borisov, Sergei Dobrotvorsky, Henrik Elinson, Elena Figurina, Valentin Gerasimenko, Evgeny Gindper, Vladimir Gromov, Alexsandr Gurevich, Igor Ivanov, Rostislav Ivanov, Boris Koshelokhov, Kirill Lilbok, Alexsandr Lotsman, Alexsandr Manusov, Anatoly Maslov, Yury Medvedev, Vladimir Mikhailov, Evgeny Mikhnov, Kirill Miller, Boris Mitavsky, Lenina Nikitina, Timur Novikov, Vladimir Ovchinnikov, Yury Petrochenkov, Yuly Rybakov, Valentin Samarin, Sergei Sergeev, Dmitry Shagrin, Vladimir Shagrin, Sergei Sheiff, Sholom Shvarts, Sergei Sigei, Vladislav Sukhorukov, Viktor Trofimov, Gennady Ustiugov, Valery Valran, Rikhard Vasmi, Vik (Vyacheslav Zabelin), Vadim Voinov and Natalya Zhilina. Includes a map of Leningrad apartment exhibitions, artists biographies, and a checklist of the exhibition. Very Good. Light rubbing of covers and handling wear. Discrete small rubber stamp logo on page 108, otherwise contents clean and unmarked.

Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: buono. Fotografia Fine arts Photography BUONE CONDIZIONI Volume in russo, inglese, francese e tedesco.

Hardcover. Condizione: Good. In Russian. Maslov, Igor Alekseevich. Handbook on Neutron Activation Analysis. Leningrad: Science. Leningrad Division, 1971. All images are for identification of editions only. Several books of the same edition may be available. Please feel free to request photos of available books.SKU7356322.

Hardcover. Condizione: Good. In Russian. Maslov, Igor Ivanovich. Modern methods of combating sand removal from wells. Moscow: VNIIOING, 1978 All images are for identification of editions only. Several books of the same edition may be available. Please feel free to request photos of available books.SKU7634119.

Hardcover. Condizione: Good. In Russian. Maslov, Igor Ivanovich. Methods of combating sand removal from oil wells. Moscow: VNIIOING, All images are for identification of editions only. Several books of the same edition may be available. Please feel free to request photos of available books.SKU1028426.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Continually growing complexity of problems arising in digital imaging and necessity to deal with changing, dynamic, and uncertain information put higher demands on the existing systems of processing visual information. Their limitations and frequent inefficiency make researchers turn their attention to new methods capable of autonomous adjustment and self-adaptation to volatile inputs, tasks and conditions. This book investigates various aspects of using Evolutionary algorithms as a unified platform applied to a number of problems arising in image processing. In particular, the areas of image registration, and object or pattern recognition are addressed when the images of interest display significant distortion due to some physical or geometrical conditions. The book explores a broad range of models, algorithms, and techniques which implement advanced concepts of hybridization in Evolutionary algorithms and can improve their computational performance in solving imaging problems. The book will be useful for professionals working in the areas of digital image processing and Evolutionary computations. 288 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Continually growing complexity of problems arising in digital imaging and necessity to deal with changing, dynamic, and uncertain information put higher demands on the existing systems of processing visual information. Their limitations and frequent ineffic.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Continually growing complexity of problems arising in digital imaging and necessity to deal with changing, dynamic, and uncertain information put higher demands on the existing systems of processing visual information. Their limitations and frequent inefficiency make researchers turn their attention to new methods capable of autonomous adjustment and self-adaptation to volatile inputs, tasks and conditions. This book investigates various aspects of using Evolutionary algorithms as a unified platform applied to a number of problems arising in image processing. In particular, the areas of image registration, and object or pattern recognition are addressed when the images of interest display significant distortion due to some physical or geometrical conditions. The book explores a broad range of models, algorithms, and techniques which implement advanced concepts of hybridization in Evolutionary algorithms and can improve their computational performance in solving imaging problems. The book will be useful for professionals working in the areas of digital image processing and Evolutionary computations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 288 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Continually growing complexity of problems arising in digital imaging and necessity to deal with changing, dynamic, and uncertain information put higher demands on the existing systems of processing visual information. Their limitations and frequent inefficiency make researchers turn their attention to new methods capable of autonomous adjustment and self-adaptation to volatile inputs, tasks and conditions. This book investigates various aspects of using Evolutionary algorithms as a unified platform applied to a number of problems arising in image processing. In particular, the areas of image registration, and object or pattern recognition are addressed when the images of interest display significant distortion due to some physical or geometrical conditions. The book explores a broad range of models, algorithms, and techniques which implement advanced concepts of hybridization in Evolutionary algorithms and can improve their computational performance in solving imaging problems. The book will be useful for professionals working in the areas of digital image processing and Evolutionary computations.