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ICPR
2006
IEEE
14 years 8 months ago
Pay Attention When Selecting Features
In this paper, we propose a new, hierarchical approach to landmark selection for simultaneous robot localization and mapping based on visual sensors: a biologically motivated atte...
Simone Frintrop, Patric Jensfelt, Henrik I. Christ...
CVPR
2007
IEEE
14 years 9 months ago
The Hierarchical Isometric Self-Organizing Map for Manifold Representation
We present an algorithm, Hierarchical ISOmetric SelfOrganizing Map (H-ISOSOM), for a concise, organized manifold representation of complex, non-linear, large scale, high-dimension...
Haiying Guan, Matthew Turk
BMCBI
2008
165views more  BMCBI 2008»
13 years 7 months ago
Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics
Background: Mass spectrometry is a key technique in proteomics and can be used to analyze complex samples quickly. One key problem with the mass spectrometric analysis of peptides...
Wiebke Timm, Alexandra Scherbart, Sebastian Bö...
PRICAI
2004
Springer
14 years 29 days ago
Shape Matching for Robot Mapping
We present a novel geometric model for robot mapping based on shape. Shape similarity measure and matching techniques originating from computer vision are specially redesigned for ...
Diedrich Wolter, Longin Jan Latecki
ICRA
2005
IEEE
149views Robotics» more  ICRA 2005»
14 years 1 months ago
A Markov Chain Monte Carlo Approach to Closing the Loop in SLAM
— The problem of simultaneous localization and mapping has received much attention over the last years. Especially large scale environments, where the robot trajectory loops back...
Michael Kaess, Frank Dellaert