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117
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JVCIR
2007
127views more  JVCIR 2007»
15 years 2 months ago
Noise reduction in high dynamic range imaging
A common method to create high dynamic range (HDR) images is to combine several different exposures of the same scene. In this approach, the use of higher ISO settings will reduc...
Ahmet Oguz Akyüz, Erik Reinhard
PAMI
2007
102views more  PAMI 2007»
15 years 2 months ago
Feature Subset Selection and Ranking for Data Dimensionality Reduction
—A new unsupervised forward orthogonal search (FOS) algorithm is introduced for feature selection and ranking. In the new algorithm, features are selected in a stepwise way, one ...
Hua-Liang Wei, Stephen A. Billings
147
Voted
PAMI
2011
14 years 9 months ago
Learning Linear Discriminant Projections for Dimensionality Reduction of Image Descriptors
This paper proposes a general method for improving image descriptors using discriminant projections. Two methods based on Linear Discriminant Analysis have been recently introduce...
Hongping Cai, Krystian Mikolajczyk, Jiri Matas
88
Voted
CAISE
2007
Springer
15 years 8 months ago
Towards more Reuse in Conceptual Modeling - A Combined Approach using Contexts
In this paper a novel reuse approach called context-based modeling is proposed. Context-based modeling combines the reuse mechanisms aggregation, restriction, and specialization. C...
Jörg Becker, Christian Janiesch, Daniel Pfeif...
132
Voted
CDC
2008
IEEE
127views Control Systems» more  CDC 2008»
15 years 9 months ago
Symmetry reduction for stochastic hybrid systems
This paper is focused on adapting symmetry reduction, a technique that is highly successful in traditional model checking, to stochastic hybrid systems. To that end, we first sho...
Manuela L. Bujorianu, Joost-Pieter Katoen