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TEC
2010
191views more  TEC 2010»
13 years 2 months ago
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
Sheng Chen, Xia Hong, Chris J. Harris
MICCAI
2004
Springer
14 years 8 months ago
Multi-scale Statistical Grey Value Modelling for Thrombus Segmentation from CTA
Abstract. In this paper we present, evaluate, and discuss two multiscale schemes for modelling grey-level appearance in a deformable model for the segmentation of abdominal aortic ...
Marcel Breeuwer, Sílvia Delgado Olabarriaga...
ENVSOFT
2008
175views more  ENVSOFT 2008»
13 years 7 months ago
Automated regression-based statistical downscaling tool
Many impact studies require climate change information at a finer resolution than that provided by Global Climate Models (GCMs). In the last 10 years, downscaling techniques, both...
Masoud Hessami, Philippe Gachon, Taha B. M. J. Oua...
ESANN
2000
13 years 9 months ago
A statistical model selection strategy applied to neural networks
In statistical modelling, an investigator must often choose a suitable model among a collection of viable candidates. There is no consensus in the research community on how such a...
Joaquín Pizarro Junquera, Elisa Guerrero V&...
ECCV
2002
Springer
14 years 9 months ago
A Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics
We derive a probabilistic multi-scale model for contour completion based on image statistics. The boundaries of human segmented images are used as "ground truth". A prob...
Xiaofeng Ren, Jitendra Malik