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CVPR
2007
IEEE
16 years 4 months ago
Robust Real-Time Visual SLAM Using Scale Prediction and Exemplar Based Feature Description
Two major limitations of real-time visual SLAM algorithms are the restricted range of views over which they can operate and their lack of robustness when faced with erratic camera...
Denis Chekhlov, Mark Pupilli, Walterio W. Mayol-Cu...
ICMLA
2008
15 years 4 months ago
Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
Jun Won Lee, Christophe G. Giraud-Carrier
BMCBI
2010
135views more  BMCBI 2010»
15 years 2 months ago
MrsRF: an efficient MapReduce algorithm for analyzing large collections of evolutionary trees
Background: MapReduce is a parallel framework that has been used effectively to design largescale parallel applications for large computing clusters. In this paper, we evaluate th...
Suzanne Matthews, Tiffani L. Williams
138
Voted
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 7 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
141
Voted
VIS
2004
IEEE
174views Visualization» more  VIS 2004»
16 years 3 months ago
A Graphics Hardware-Based Vortex Detection and Visualization System
Feature detection in flow fields is a well researched area, but practical application is often difficult due to the numerical complexity of the algorithms preventing interactive u...
Simon Stegmaier, Thomas Ertl