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IROS
2009
IEEE
144views Robotics» more  IROS 2009»
14 years 2 months ago
Improving particle filter performance using SSE instructions
Abstract— Robotics researchers are often faced with realtime constraints, and for that reason algorithmic and implementation-level optimization can dramatically increase the over...
Peter Djeu, Michael Quinlan, Peter Stone
TASLP
2002
109views more  TASLP 2002»
13 years 7 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 7 months ago
Estimating Signals with Finite Rate of Innovation from Noisy Samples: A Stochastic Algorithm
As an example of the recently introduced concept of rate of innovation, signals that are linear combinations of a finite number of Diracs per unit time can be acquired by linear fi...
Vincent Yan Fu Tan, Vivek K. Goyal
CORR
2002
Springer
113views Education» more  CORR 2002»
13 years 7 months ago
Robust Global Localization Using Clustered Particle Filtering
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
Javier Nicolás Sánchez, Adam Milstei...
CVPR
2007
IEEE
14 years 9 months ago
Multimodal Tracking for Smart Videoconferencing and Video Surveillance
Many applications require the ability to track the 3-D motion of the subjects. We build a particle filter based framework for multimodal tracking using multiple cameras and multip...
Dmitry N. Zotkin, Vikas C. Raykar, Ramani Duraiswa...