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NIPS
2003
15 years 1 months ago
Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels
Decoding is a strategy that allows us to assess the amount of information neurons can provide about certain aspects of the visual scene. In this study, we develop a method based o...
Ryan Kelly, Tai Sing Lee
109
Voted
IJCV
2010
131views more  IJCV 2010»
14 years 11 months ago
Using the Particle Filter Approach to Building Partial Correspondences Between Shapes
Abstract Constructing correspondencesbetween points characterizing one shape with those characterizing another is crucial to understanding what the two shapes have in common. These...
Rolf Lakämper, Marc Sobel
71
Voted
ICRA
2007
IEEE
103views Robotics» more  ICRA 2007»
15 years 6 months ago
Particle Filtering on the Euclidean Group
Abstract— We address general filtering problems on the Euclidean group SE(3). We first generalize, to stochastic nonlinear systems evolving on SE(3), the particle filter of Li...
Junghyun Kwon, Minseok Choi, Changmook Chun, Frank...
78
Voted
IJCNN
2006
IEEE
15 years 6 months ago
Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement
— In this paper we present a method of sequential speech enhancement, where we infer clean speech signal using a Rao-Blackwellized particle filter (RBPF), given a noisecontamina...
Sunho Park, Seungjin Choi
ROBOCUP
2005
Springer
85views Robotics» more  ROBOCUP 2005»
15 years 6 months ago
Particle-Filter-Based Self-localization Using Landmarks and Directed Lines
The paper presents the self-localization approach used by the World Champion in the Sony Four-Legged Robot League 2004. The method is based on a particle filter that makes use of ...
Thomas Röfer, Tim Laue, Dirk Thomas