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» Parameterized Complexity and Approximation Algorithms
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ECCC
2011
234views ECommerce» more  ECCC 2011»
14 years 11 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
136
Voted
SIAMCOMP
2000
104views more  SIAMCOMP 2000»
15 years 4 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. ...
JMLR
2010
141views more  JMLR 2010»
14 years 11 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
171
Voted
SMI
2006
IEEE
135views Image Analysis» more  SMI 2006»
15 years 10 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 10 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...