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» Conductor: A Framework for Distributed Adaptation
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ICCV
2009
IEEE
13 years 6 months ago
Real-time visual tracking via Incremental Covariance Tensor Learning
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu
ICCV
2009
IEEE
13 years 6 months ago
Realtime background subtraction from dynamic scenes
This paper examines the problem of moving object detection. More precisely, it addresses the difficult scenarios where background scene textures in the video might change over tim...
Li Cheng, Minglun Gong
ICIP
2009
IEEE
13 years 6 months ago
Image interpolation with edge-preserving differential motion refinement
Motion estimation (ME) methods based on differential techniques provide useful information for video analysis, and moreover it is relatively easy to embed into them regularity con...
Marco Cagnazzo, Wided Miled, Thomas Maugey, B&eacu...
TON
2010
126views more  TON 2010»
13 years 3 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
IEEEPACT
2009
IEEE
14 years 3 months ago
StealthTest: Low Overhead Online Software Testing Using Transactional Memory
—Software testing is hard. The emergence of multicore architectures and the proliferation of bugprone multithreaded software makes testing even harder. To this end, researchers h...
Jayaram Bobba, Weiwei Xiong, Luke Yen, Mark D. Hil...