Published by Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
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Published by Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
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Published by Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
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Published by Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
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Published by Morgan & Claypool Publishers, 2014
ISBN 10: 162705359X ISBN 13: 9781627053594
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Published by Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
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Published by Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
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Published by Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
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Published by Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
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Published by Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
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Published by Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
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Published by Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
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Condition: New. 2014. Paperback. . . . . .
Published by Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
Condition: As New. Unread book in perfect condition.
Published by Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
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Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2014
ISBN 10: 3031011228 ISBN 13: 9783031011221
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, since they emulate the activity of neural receptors in the primary visual co.