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» KLD-Sampling: Adaptive Particle Filters
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NIPS
2008
14 years 11 months ago
Modeling the effects of memory on human online sentence processing with particle filters
Language comprehension in humans is significantly constrained by memory, yet rapid, highly incremental, and capable of utilizing a wide range of contextual information to resolve ...
Roger P. Levy, Florencia Reali, Thomas L. Griffith...
3DPVT
2006
IEEE
199views Visualization» more  3DPVT 2006»
15 years 3 months ago
Gaze Tracking by Using Factorized Likelihoods Particle Filtering and Stereo Vision
This paper describes a non-intrusive method to estimate the gaze direction of a person by using stereo cameras. First, facial features are tracked with an adapted particle filter...
Erik Pogalin, André Redert, Ioannis Patras,...
ICASSP
2011
IEEE
14 years 1 months ago
Instantaneous phase tracking of oscillatory signals using emd and Rao-Blackwellised particle filtering
A new method for instantaneous phase tracking of oscillatory signals in a narrow band frequency range is proposed. Empirical mode decomposition (EMD), as an adaptive and data-driv...
Delaram Jarchi, Bahador Makkiabadi, Saeid Sanei
ICIP
2006
IEEE
15 years 11 months ago
An adaptive mixture color model for robust visual tracking
Global color characterization is a very powerful tool to model in a simple yet discriminant way the visual appearance of complex objects. A fixed reference model of this type can ...
Antoine Lehuger, Patrick Léchat, Patrick P&...
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
15 years 3 months ago
An optimal filtering algorithm for non-parametric observation models in robot localization
— The lack of a parameterized observation model in robot localization using occupancy grids requires the application of sampling-based methods, or particle filters. This work ad...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...