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» Pixel Approximation Errors in Common Watershed Algorithms
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IJCV
2002
188views more  IJCV 2002»
13 years 7 months ago
Scalable Extrinsic Calibration of Omni-Directional Image Networks
We describe a linear-time algorithm that recovers absolute camera orientations and positions, along with uncertainty estimates, for networks of terrestrial image nodes spanning hun...
Matthew E. Antone, Seth J. Teller
INFOVIS
2002
IEEE
14 years 10 days ago
Visualizing Data with Bounded Uncertainty
Visualization is a powerful way to facilitate data analysis, but it is crucial that visualization systems explicitly convey the presence, nature, and degree of uncertainty to user...
Chris Olston, Jock D. Mackinlay
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 9 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
WSCG
2004
190views more  WSCG 2004»
13 years 8 months ago
Scalable Compression and Rendering of Textured Terrain Data
Several sophisticated methods are available for efficient rendering of out-of-core terrain data sets. For huge data sets the use of preprocessed tiles has proven to be more effici...
Roland Wahl, Manuel Massing, Patrick Degener, Mich...
ICML
2010
IEEE
13 years 8 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein