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» Probability Models for High Dynamic Range Imaging
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NIPS
1998
14 years 11 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
DAC
2008
ACM
15 years 10 months ago
Symbolic noise analysis approach to computational hardware optimization
This paper addresses the problem of computational error modeling and analysis. Choosing different word-lengths for each functional unit in hardware implementations of numerical al...
Arash Ahmadi, Mark Zwolinski
ISIPTA
2005
IEEE
140views Mathematics» more  ISIPTA 2005»
15 years 3 months ago
Conservative Rules for Predictive Inference with Incomplete Data
This paper addresses the following question: how should we update our beliefs after observing some incomplete data, in order to make credible predictions about new, and possibly i...
Marco Zaffalon
TC
2008
14 years 9 months ago
Optimal and Practical Algorithms for Sorting on the PDM
Abstract. The Parallel Disks Model (PDM) has been proposed to alleviate the I/O bottleneck that arises in the processing of massive data sets. Sorting has been extensively studied ...
Sanguthevar Rajasekaran, Sandeep Sen
EJASP
2010
133views more  EJASP 2010»
14 years 4 months ago
Improving Density Estimation by Incorporating Spatial Information
Given discrete event data, we wish to produce a probability density that can model the relative probability of events occurring in a spatial region. Common methods of density esti...
Laura M. Smith, Matthew S. Keegan, Todd Wittman, G...