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» Computing Sparse Multiples of Polynomials
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NIPS
2008
15 years 3 months ago
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
Francis Bach
CORR
2008
Springer
83views Education» more  CORR 2008»
15 years 2 months ago
Resource Allocation in Multiple Access Channels
We consider the problem of rate allocation in a Gaussian multiple-access channel, with the goal of maximizing a utility function over transmission rates. In contrast to the literat...
Ali ParandehGheibi, Atilla Eryilmaz, Asuman E. Ozd...
ICCV
2009
IEEE
16 years 7 months ago
Multiple Kernels for Object Detection
Our objective is to obtain a state-of-the art object category detector by employing a state-of-the-art image classifier to search for the object in all possible image subwindows....
Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew...
114
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BMCBI
2007
172views more  BMCBI 2007»
15 years 2 months ago
msBayes: Pipeline for testing comparative phylogeographic histories using hierarchical approximate Bayesian computation
Background: Although testing for simultaneous divergence (vicariance) across different population-pairs that span the same barrier to gene flow is of central importance to evoluti...
Michael J. Hickerson, Eli Stahl, Naoki Takebayashi
EUROCRYPT
2000
Springer
15 years 6 months ago
General Secure Multi-party Computation from any Linear Secret-Sharing Scheme
We show that verifiable secret sharing (VSS) and secure multi-party computation (MPC) among a set of n players can efficiently be based on any linear secret sharing scheme (LSSS) f...
Ronald Cramer, Ivan Damgård, Ueli M. Maurer