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» A Parametric Version of Jackknife-after-Bootstrap
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PCS
2011
13 years 1 months ago
The parametric solution of underdetermined linear ODEs
The purpose of this paper is twofold. An immediate practical use of the presented algorithm is its applicability to the parametric solution of underdetermined linear ordinary diļ¬...
Thomas Wolf
ICML
1999
IEEE
14 years 7 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
FUIN
2006
77views more  FUIN 2006»
13 years 6 months ago
The Impact of seq on Free Theorems-Based Program Transformations
Parametric polymorphism constrains the behavior of pure functional programs in a way that allows the derivation of interesting theorems about them solely from their types, i.e., vi...
Patricia Johann, Janis Voigtländer
CVPR
2010
IEEE
14 years 2 months ago
Parametric Dimensionality Reduction by Unsupervised Regression
We introduce a parametric version (pDRUR) of the recently proposed Dimensionality Reduction by Unsupervised Regression algorithm. pDRUR alternately minimizes reconstruction error ...
Miguel Carreira-perpinan, Zhengdong Lu
WACV
2008
IEEE
14 years 1 months ago
A non parametric approach for modeling interferometric SAR imagery and applications
In this paper, we present a non parametric modeling for phase maps of interferometric SAR. Cosine and Sine projections maps are generated from the SAR phase map, and each of them ...
Kuntal Sengupta, Prabir Burman