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» A Computational Model of Multidimensional Shape
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106
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ESWA
2007
100views more  ESWA 2007»
15 years 2 months ago
Treatment of multi-dimensional data to enhance neural network estimators in regression problems
This paper proposes and explains a data treatment technique to improve the accuracy of a neural network estimator in regression problems, where multi-dimensional input data set is...
H. Altun, A. Bilgil, B. C. Fidan
140
Voted
ECCV
2010
Springer
15 years 7 months ago
Inferring 3D Shapes and Deformations from Single Views
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
136
Voted
LCPC
2007
Springer
15 years 9 months ago
Multidimensional Blocking in UPC
Abstract. Partitioned Global Address Space (PGAS) languages offer an attractive, high-productivity programming model for programming large-scale parallel machines. PGAS languages, ...
Christopher Barton, Calin Cascaval, George Alm&aac...
116
Voted
EMSOFT
2007
Springer
15 years 9 months ago
Methods for multi-dimensional robustness optimization in complex embedded systems
Design space exploration of embedded systems typically focuses on classical design goals such as cost, timing, buffer sizes, and power consumption. Robustness criteria, i.e. sensi...
Arne Hamann, Razvan Racu, Rolf Ernst
153
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ICCV
2007
IEEE
16 years 4 months ago
The Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models
Reliable 3D tracking is still a difficult task. Most parametrized 3D deformable models rely on the accurate extraction of image features for updating their parameters, and are pro...
Christian Vogler, Zhiguo Li, Atul Kanaujia, Siome ...