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» On Computing Functions with Uncertainty
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SAC
2011
ACM
15 years 1 months ago
Non parametric estimation of the structural expectation of a stochastic increasing function
This article introduces a non parametric warping model for functional data. When the outcome of an experiment is a sample of curves, data can be seen as realizations of a stochast...
J.-F. Dupuy, J.-M. Loubes, E. Maza
CVPR
2009
IEEE
2305views Computer Vision» more  CVPR 2009»
17 years 2 months ago
Visual tracking on the affine group via geometric particle filtering using optimal importance function
We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinateinvariant partic...
Junghyun Kwon (Seoul National University), Kyoung ...
ICPR
2008
IEEE
16 years 7 months ago
Kernel bandwidth estimation in methods based on probability density function modelling
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
Adrian G. Bors, Nikolaos Nasios
ICPR
2002
IEEE
16 years 7 months ago
Face Detection Using a Modified Radial Basis Function Neural Network
Face detection from cluttered images is very challenging due to the diverse variation of face appearance and the complexity of image background. In this paper, we propose a neural...
Lin-Lin Huang, Akinobu Shimizu, Hidefumi Kobatake
DCC
2008
IEEE
16 years 6 months ago
High-Resolution Functional Quantization
Suppose a function of N real source variables XN 1 = (X1, X2, . . . , XN ) is desired at a destination constrained to receive a limited number of bits. If the result of evaluating...
Vinith Misra, Vivek K. Goyal, Lav R. Varshney