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» Image Based Regression Using Boosting Method
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ESANN
2003
14 years 11 months ago
Fast approximation of the bootstrap for model selection
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...
Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Mi...
HIS
2009
14 years 7 months ago
Shape-Based Level Set Method for Image Segmentation
In this paper, a level set method with shape model is proposed for image segmentation. Because the level set model proposed by Chan and Vese can not work well on some specific shap...
Chieh-Ling Huang
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
15 years 2 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diļ...
Xiao Zhang, Prasenjit Mitra
SIAMIS
2011
14 years 4 months ago
An Upwind Finite-Difference Method for Total Variation-Based Image Smoothing
In this paper we study finite-difference approximations to the variational problem using the BV smoothness penalty that was introduced in an image smoothing context by Rudin, Osh...
Antonin Chambolle, Stacey Levine, Bradley J. Lucie...
ACL
1997
14 years 11 months ago
An Alignment Method for Noisy Parallel Corpora based on Image Processing Techniques
This paper presents a new approach to bitext correspondence problem (BCP) of noisy bilingual corpora based on image processing (IP) techniques. By using one of several ways of est...
Jason S. Chang, Mathis H. M. Chen