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JMIV
2010
78views more  JMIV 2010»
15 years 2 months ago
Unified Computation of Strict Maximum Likelihood for Geometric Fitting
A new numerical scheme is presented for strictly computing maximum likelihood (ML) of geometric fitting problems. Intensively studied in the past are those methods that first tran...
Kenichi Kanatani, Yasuyuki Sugaya
ICIP
1995
IEEE
16 years 9 months ago
Parallel computation of sequential pixel updates in statistical tomographic reconstruction
While Bayesian methods can significantly improve the quality of tomographic reconstructions, they require the solution of large iterative optimization problems. Recent results ind...
Ken D. Sauer, S. Borman, Charles A. Bouman
ICML
2006
IEEE
16 years 8 months ago
Simpler knowledge-based support vector machines
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
Quoc V. Le, Alex J. Smola, Thomas Gärtner
GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
16 years 1 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
CVPR
2010
IEEE
16 years 1 months ago
Variational Segmentation of Elongated Volumetric Structures
We present an interactive approach for segmenting thin volumetric structures. The proposed segmentation model is based on an anisotropic weighted Total Variation energy with a glo...
Christian Reinbacher, Thomas Pock, Christian Bauer...