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TON
2010
126views more  TON 2010»
14 years 10 months ago
MAC Scheduling With Low Overheads by Learning Neighborhood Contention Patterns
Aggregate traffic loads and topology in multi-hop wireless networks may vary slowly, permitting MAC protocols to `learn' how to spatially coordinate and adapt contention patte...
Yung Yi, Gustavo de Veciana, Sanjay Shakkottai
ICCV
2011
IEEE
14 years 4 months ago
Learning Cross-modality Similarity for Multinomial Data
Many applications involve multiple-modalities such as text and images that describe the problem of interest. In order to leverage the information present in all the modalities, on...
Yangqing Jia, Mathieu Salzmann, Trevor Darrell
SBP
2012
Springer
13 years 11 months ago
Lessons Learned in Using Social Media for Disaster Relief - ASU Crisis Response Game
In disasters such as the earthquake in Haiti and the tsunami in Japan, people used social media to ask for help or report injuries. The popularity, efficiency, and ease of use of s...
Mohammad Ali Abbasi, Shamanth Kumar, Jose Augusto ...
CVPR
1999
IEEE
16 years 6 months ago
Shape from Recognition and Learning: Recovery of 3-D Face Shapes
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
Dibyendu Nandy, Jezekiel Ben-Arie
CVPR
2007
IEEE
16 years 6 months ago
Monocular and Stereo Methods for AAM Learning from Video
The active appearance model (AAM) is a powerful method for modeling deformable visual objects. One of the major drawbacks of the AAM is that it requires a training set of pseudo-d...
Jason Saragih, Roland Göcke