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Titlebook: Algorithms and Computation; 26th International S Khaled Elbassioni,Kazuhisa Makino Conference proceedings 2015 Springer-Verlag Berlin Heide

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Algorithmic Learning for Steganography: Proper Learning of ,-term DNF Formulas from Positive Samplesecurity requirements imply that the hypothesis should not contain false positives. We present such a learner for .-term DNF formulas for the uniform distribution and a generalization to .-bounded distributions. We briefly also describe how these results can be used to design a secure stegosystem.
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Algorithmic Learning for Steganography: Proper Learning of ,-term DNF Formulas from Positive Samplesecurity requirements imply that the hypothesis should not contain false positives. We present such a learner for .-term DNF formulas for the uniform distribution and a generalization to .-bounded distributions. We briefly also describe how these results can be used to design a secure stegosystem.
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An Optimal Algorithm for Tiling the Plane with a Translated PolyominoWe give a .(.)-time algorithm for determining whether translations of a polyomino with . edges can tile the plane. The algorithm is also a .(.)-time algorithm for enumerating all regular tilings, and we prove that at most . such tilings exist.
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On the Succinct Representation of Unlabeled PermutationsWe investigate the problem of succinctly representing an arbitrary unlabeled permutation ., so that . can be computed quickly for any . and any integer power .. We consider the problem in several scenarios:
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Khaled Elbassioni,Kazuhisa MakinoIncludes supplementary material:
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/153128.jpg
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