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ECCV
2010
Springer
13 years 12 months ago
Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations
Manifolds are widely used to model non-linearity arising in a range of computer vision applications. This paper treats statistics on manifolds and the loss of accuracy occurring wh...
BMCBI
2005
93views more  BMCBI 2005»
13 years 7 months ago
Computing expectation values for RNA motifs using discrete convolutions
Background: Computational biologists use Expectation values (E-values) to estimate the number of solutions that can be expected by chance during a database scan. Here we focus on ...
André Lambert, Matthieu Legendre, Jean-Fred...
SIGMOD
2005
ACM
212views Database» more  SIGMOD 2005»
14 years 7 months ago
A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification
Data integrated from multiple sources may contain inconsistencies that violate integrity constraints. The constraint repair problem attempts to find "low cost" changes t...
Philip Bohannon, Michael Flaster, Wenfei Fan, Raje...
ICPP
2008
IEEE
14 years 2 months ago
Improving the Performance of Multithreaded Sparse Matrix-Vector Multiplication Using Index and Value Compression
Abstract—The Sparse Matrix-Vector Multiplication kernel exhibits limited potential for taking advantage of modern shared memory architectures due to its large memory bandwidth re...
Kornilios Kourtis, Georgios I. Goumas, Nectarios K...
NIPS
1997
13 years 9 months ago
Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report
Singular value decomposition (SVD) can be viewed as a method for unsupervised training of a network that associates two classes of events reciprocally by linear connections throug...
Thomas K. Landauer, Darrell Laham, Peter W. Foltz