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ICDCS
2007
IEEE
15 years 3 months ago
Distributed Density Estimation Using Non-parametric Statistics
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
Yusuo Hu, Hua Chen, Jian-Guang Lou, Jiang Li
ACL
2012
13 years 3 hour ago
Estimating Compact Yet Rich Tree Insertion Grammars
We present a Bayesian nonparametric model for estimating tree insertion grammars (TIG), building upon recent work in Bayesian inference of tree substitution grammars (TSG) via Dir...
Elif Yamangil, Stuart M. Shieber
CVPR
2003
IEEE
15 years 11 months ago
Practical Non-parametric Density Estimation on a Transformation Group for Vision
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...
Erik G. Miller, Christophe Chefd'Hotel
NPL
2008
68views more  NPL 2008»
14 years 9 months ago
On Nonparametric Residual Variance Estimation
In this paper, the problem of residual variance estimation is examined. The problem is analyzed in a general setting which covers non-additive heteroscedastic noise under non-iid s...
Elia Liitiäinen, Francesco Corona, Amaury Len...
3DIM
2003
IEEE
15 years 2 months ago
Cramer-Rao Bounds for Nonparametric Surface Reconstruction from Range Data
The Cramer-Rao error bound provides a fundamental limit on the expected performance of a statistical estimator. The error bound depends on the general properties of the system, bu...
Tolga Tasdizen, Ross T. Whitaker