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CVPR
2010
IEEE
12 years 4 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
ICIP
1998
IEEE
14 years 9 months ago
EXM Eigen Templates for Detecting and Classifying Arbitrary Junctions
A novel method for extracting parametric junction and corner features in images is presented. By treating each complex feature as a combination of elementary line and edge feature...
Dibyendu Nandy, Jezekiel Ben-Arie
RECOMB
2004
Springer
14 years 8 months ago
Designing multiple simultaneous seeds for DNA similarity search
The challenge of similarity search in massive DNA sequence databases has inspired major changes in BLAST-style alignment tools, which accelerate search by inspecting only pairs of...
Yanni Sun, Jeremy Buhler
EUROSYS
2007
ACM
14 years 4 months ago
Tashkent+: memory-aware load balancing and update filtering in replicated databases
We present a memory-aware load balancing (MALB) technique to dispatch transactions to replicas in a replicated database. Our MALB algorithm exploits knowledge of the working sets ...
Sameh Elnikety, Steven G. Dropsho, Willy Zwaenepoe...
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 8 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider