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PAMI
1998
128views more  PAMI 1998»
15 years 3 months ago
A Hierarchical Latent Variable Model for Data Visualization
—Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projec...
Christopher M. Bishop, Michael E. Tipping
146
Voted
ICRA
2008
IEEE
199views Robotics» more  ICRA 2008»
15 years 10 months ago
Gamma-SLAM: Using stereo vision and variance grid maps for SLAM in unstructured environments
— We introduce a new method for stereo visual SLAM (simultaneous localization and mapping) that works in unstructured, outdoor environments. Unlike other gridbased SLAM algorithm...
Tim K. Marks, Andrew Howard, Max Bajracharya, Garr...
125
Voted
VDA
2010
169views Visualization» more  VDA 2010»
15 years 6 months ago
Techniques for precision-based visual analysis of projected data
The analysis of high-dimensional data is an important, yet inherently difficult problem. Projection techniques such as PCA, MDS, and SOM can be used to map high-dimensional data t...
Tobias Schreck, Tatiana von Landesberger, Sebastia...
118
Voted
WSC
2004
15 years 5 months ago
Assessing Obstacle Location Accuracy in the Remus Unmanned Underwater Vehicle
Navy personnel use the REMUS unmanned underwater vehicle to search for submerged objects. Navigation inaccuracies lead to errors in predicting the location of objects and thus inc...
Timothy E. Allen, Arnold H. Buss, Susan M. Sanchez
130
Voted
IROS
2009
IEEE
197views Robotics» more  IROS 2009»
15 years 10 months ago
Biped navigation in rough environments using on-board sensing
— We present an approach to navigating a biped robot safely and efficiently through a complicated environment of previously unknown obstacles and terrain using only onboard sens...
Joel E. Chestnutt, Yutaka Takaoka, Keisuke Suga, K...