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» Parameterized Complexity and Approximation Algorithms
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ECCC
2011
234views ECommerce» more  ECCC 2011»
14 years 9 months ago
On the complexity of computational problems regarding distributions (a survey)
We consider two basic computational problems regarding discrete probability distributions: (1) approximating the statistical difference (aka variation distance) between two given d...
Oded Goldreich, Salil P. Vadhan
123
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SIAMCOMP
2000
104views more  SIAMCOMP 2000»
15 years 2 months ago
On the Difficulty of Designing Good Classifiers
We consider the problem of designing a near-optimal linear decision tree to classify two given point sets B and W in n. A linear decision tree de nes a polyhedral subdivision of sp...
Michelangelo Grigni, Vincent Mirelli, Christos H. ...
138
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JMLR
2010
141views more  JMLR 2010»
14 years 9 months ago
Hierarchical Gaussian Process Regression
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...
Sunho Park, Seungjin Choi
154
Voted
SMI
2006
IEEE
135views Image Analysis» more  SMI 2006»
15 years 8 months ago
Laplace-Beltrami Eigenfunctions Towards an Algorithm That "Understands" Geometry
One of the challenges in geometry processing is to automatically reconstruct a higher-level representation from raw geometric data. For instance, computing a parameterization of a...
Bruno Lévy
CRYPTO
2004
Springer
86views Cryptology» more  CRYPTO 2004»
15 years 8 months ago
On Multiple Linear Approximations
In this paper we study the long standing problem of information extraction from multiple linear approximations. We develop a formal statistical framework for block cipher attacks b...
Alex Biryukov, Christophe De Cannière, Mich...