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ICPP
2008
IEEE
15 years 11 months ago
Solving Large, Irregular Graph Problems Using Adaptive Work-Stealing
Solving large, irregular graph problems efficiently is challenging. Current software systems and commodity multiprocessors do not support fine-grained, irregular parallelism wel...
Guojing Cong, Sreedhar B. Kodali, Sriram Krishnamo...
149
Voted
NIPS
2004
15 years 6 months ago
Spike Sorting: Bayesian Clustering of Non-Stationary Data
Spike sorting involves clustering spike trains recorded by a microelectrode according to the source neuron. It is a complicated problem, which requires a lot of human labor, partl...
Aharon Bar-Hillel, Adam Spiro, Eran Stark
CVPR
2010
IEEE
14 years 2 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
ISMAR
2003
IEEE
15 years 10 months ago
A real-time tracker for markerless augmented reality
Augmented Reality has now progressed to the point where real-time applications are being considered and needed. At the same time it is important that synthetic elements are render...
Andrew I. Comport, Éric Marchand, Fran&cced...
ACL
2012
13 years 7 months ago
Towards the Unsupervised Acquisition of Discourse Relations
This paper describes a novel approach towards the empirical approximation of discourse relations between different utterances in texts. Following the idea that every pair of event...
Christian Chiarcos