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» Filtering with Gray-Code Kernels
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JMLR
2010
129views more  JMLR 2010»
13 years 17 days ago
Approximation of hidden Markov models by mixtures of experts with application to particle filtering
Selecting conveniently the proposal kernel and the adjustment multiplier weights of the auxiliary particle filter may increase significantly the accuracy and computational efficie...
Jimmy Olsson, Jonas Ströjby
TSP
2008
134views more  TSP 2008»
13 years 5 months ago
A Mapping-Based Design for Nonsubsampled Hourglass Filter Banks in Arbitrary Dimensions
Multidimensional hourglass filter banks decompose the frequency spectrum of input signals into hourglass-shaped directional subbands, each aligned with one of the frequency axes. T...
Yue M. Lu, Minh N. Do
ECCV
2002
Springer
14 years 7 months ago
Time-Recursive Velocity-Adapted Spatio-Temporal Scale-Space Filters
Abstract. This paper presents a theory for constructing and computing velocity-adapted scale-space filters for spatio-temporal image data. Starting from basic criteria in terms of ...
Tony Lindeberg
EWRL
2008
13 years 7 months ago
Bayesian Reward Filtering
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
Matthieu Geist, Olivier Pietquin, Gabriel Fricout
ICIP
1995
IEEE
13 years 9 months ago
Error bound for multi-stage synthesis of narrow bandwidth Gabor filters
This paper develops an error bound for narrow bandwidth Gabor filters synthesized using multiple stages. It is shown that the error introduced by approximating narrow bandwidth Ga...
R. Neil Braithwaite, Bir Bhanu