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» Kernel methods and the exponential family
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ICCV
2009
IEEE
15 years 1 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...
ICML
2006
IEEE
14 years 9 months ago
Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution
The Dirichlet compound multinomial (DCM) distribution, also called the multivariate Polya distribution, is a model for text documents that takes into account burstiness: the fact ...
Charles Elkan
JMLR
2012
11 years 11 months ago
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
Sparse additive models are families of d-variate functions with the additive decomposition f∗ = ∑j∈S f∗ j , where S is an unknown subset of cardinality s d. In this paper,...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
CORR
2010
Springer
126views Education» more  CORR 2010»
13 years 3 months ago
Reed Muller Sensing Matrices and the LASSO
We construct two families of deterministic sensing matrices where the columns are obtained by exponentiating codewords in the quaternary Delsarte-Goethals code DG(m, r). This meth...
A. Robert Calderbank, Sina Jafarpour
BIBM
2008
IEEE
125views Bioinformatics» more  BIBM 2008»
13 years 10 months ago
On the Role of Local Matching for Efficient Semi-supervised Protein Sequence Classification
Recent studies in protein sequence analysis have leveraged the power of unlabeled data. For example, the profile and mismatch neighborhood kernels have shown significant improveme...
Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic