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» Probability Models for High Dynamic Range Imaging
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NIPS
1998
15 years 2 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
16 years 2 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 7 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
15 years 1 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 8 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...