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» Linear Response for Approximate Inference
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BC
2007
102views more  BC 2007»
13 years 7 months ago
Bayesian processing of vestibular information
Complex self-motion stimulations in the dark can be powerfully disorienting and can create illusory motion percepts. In the absence of visual cues, the brain has to use angular and...
Jean Laurens, Jacques Droulez
OSDI
2008
ACM
14 years 8 months ago
Improving MapReduce Performance in Heterogeneous Environments
MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data mining, and scientific simulation. Hadoop is an open-...
Matei Zaharia, Andy Konwinski, Anthony D. Joseph, ...
CVPR
2009
IEEE
15 years 2 months ago
Convexity and Bayesian Constrained Local Models
The accurate localization of facial features plays a fundamental role in any face recognition pipeline. Constrained local models (CLM) provide an effective approach to localizati...
Ulrich Paquet (Imense Ltd)
VLSID
2002
IEEE
130views VLSI» more  VLSID 2002»
14 years 8 months ago
Using Randomized Rounding to Satisfy Timing Constraints of Real-Time Preemptive Tasks
In preemptive real-time systems, a tighter estimate of the Worst Case Response Time(WCRT) of the tasks can be obtained if the layout of the tasks in memory is included in the esti...
Anupam Datta, Sidharth Choudhury, Anupam Basu
NIPS
2008
13 years 9 months ago
Continuously-adaptive discretization for message-passing algorithms
Continuously-Adaptive Discretization for Message-Passing (CAD-MP) is a new message-passing algorithm for approximate inference. Most message-passing algorithms approximate continu...
Michael Isard, John MacCormick, Kannan Achan