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» Bias and Variance Approximation in Value Function Estimates
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ICPR
2006
IEEE
14 years 9 months ago
Target Model Estimation using Particle Filters for Visual Servoing
In this paper, we present a novel method for model estimation for visual servoing. This method employs a particle filter algorithm to estimate the depth of the image features onli...
A. H. Abdul Hafez, C. V. Jawahar
ICANN
2005
Springer
14 years 2 months ago
LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator
This paper presents a new method for the selection of the two hyperparameters of Least Squares Support Vector Machine (LS-SVM) approximators with Gaussian Kernels. The two hyperpar...
Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel ...
PAMI
2008
181views more  PAMI 2008»
13 years 8 months ago
Automatic Estimation and Removal of Noise from a Single Image
Image denoising algorithms often assume an additive white Gaussian noise (AWGN) process that is independent of the actual RGB values. Such approaches cannot effectively remove colo...
Ce Liu, Richard Szeliski, Sing Bing Kang, C. Lawre...
SIGMOD
1994
ACM
85views Database» more  SIGMOD 1994»
14 years 21 days ago
Adaptive Selectivity Estimation Using Query Feedback
In this paper, we propose a novel approach for estimating the record selectivities of database queries. The real attribute value distribution is adaptively approximated by a curve...
Chung-Min Chen, Nick Roussopoulos
CORR
2008
Springer
179views Education» more  CORR 2008»
13 years 8 months ago
Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication
The paper studies the problem of distributed static parameter (vector) estimation in sensor networks with nonlinear observation models and imperfect inter-sensor communication. We...
Soummya Kar, José M. F. Moura, Kavita Raman...