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» Resampling methods for input modeling
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128
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SIAMIS
2010
116views more  SIAMIS 2010»
15 years 1 months ago
Higher-Order Feature-Preserving Geometric Regularization
We introduce two fourth-order regularization methods that remove geometric noise without destroying significant geometric features. These methods leverage ideas from image denoisi...
Marc Droske, Andrea Bertozzi
112
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Geometric programming for aggregation of binary classifiers
Multiclass classification problems are often decomposed into multiple binary problems that are solved by individual binary classifiers whose results are integrated into a final...
Sunho Park, Seungjin Choi
180
Voted
CPE
1994
Springer
170views Hardware» more  CPE 1994»
15 years 7 months ago
Automatic Scalability Analysis of Parallel Programs Based on Modeling Techniques
When implementingparallel programs forparallel computer systems the performancescalability of these programs should be tested and analyzed on different computer configurations and...
Allen D. Malony, Vassilis Mertsiotakis, Andreas Qu...
CVPR
2010
IEEE
15 years 11 months ago
Multilinear Pose and Body Shape Estimation of Dressed Subjects from Image Sets
In this paper we propose a multilinear model of human pose and body shape which is estimated from a database of registered 3D body scans in different poses. The model is generated...
Nils Hasler, Hanno Ackermann, Bodo Rosenhahn, Thor...
IJCNN
2000
IEEE
15 years 7 months ago
An Incremental Growing Neural Network and its Application to Robot Control
This paper describes a novel network model, which is able to control its growth on the basis of the approximation requests. Two classes of self-tuning neural models are considered...
A. Carlevarino, R. Martinotti, Giorgio Metta, Giul...