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» Informative sampling for large unbalanced data sets
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CVPR
2011
IEEE
13 years 3 months ago
Structure from motion for scenes with large duplicate structures
Most existing structure from motion (SFM) approaches for unordered images cannot handle multiple instances of the same structure in the scene. When image pairs containing differen...
Richard Roberts, Sudipta Sinha, Richard Szeliski, ...
APVIS
2007
13 years 9 months ago
Adaptive sampling in three dimensions for volume rendering on GPUs
Direct volume rendering of large volumetric data sets on programmable graphics hardware is often limited by the amount of available graphics memory and the bandwidth from main mem...
Martin Kraus, Magnus Strengert, Thomas Klein, Thom...
BMCBI
2007
140views more  BMCBI 2007»
13 years 7 months ago
Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets
Background: Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles...
Michael Gormley, William Dampier, Adam Ertel, Bilg...
CVPR
2011
IEEE
12 years 11 months ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
IVA
2009
Springer
14 years 2 months ago
Augmenting Gesture Animation with Motion Capture Data to Provide Full-Body Engagement
Abstract. Effective speakers engage their whole body when they gesture. It is difficult, however, to create such full body motion in animated agents while still supporting a large...
Pengcheng Luo, Michael Kipp, Michael Neff