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» Image Based Regression Using Boosting Method
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114
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GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
15 years 7 months ago
Model selection in genetic programming
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
Cruz E. Borges, César Luis Alonso, Jos&eacu...
117
Voted
CORR
2010
Springer
241views Education» more  CORR 2010»
15 years 2 months ago
Haar Wavelet Based Approach for Image Compression and Quality Assessment of Compressed Image
With the increasing growth of technology and the entrance into the digital age, we have to handle a vast amount of information every time which often presents difficulties. So, the...
Kamrul Hasan Talukder, Koichi Harada
121
Voted
ISBI
2004
IEEE
16 years 3 months ago
Speckle Reduction on Ultrasound Image by Variational Methods and Adaptive Lagrangian Multipliers
Ultrasound images are corrupted by a multiplicative noise, the speckle, which makes high level analysis difficult. Within each resolution cell a number of elementary scatterers re...
Arnaud Ogier, Pierre Hellier, Christian Barillot
129
Voted
BMVC
2010
15 years 22 days ago
Evaluation of dimensionality reduction methods for image auto-annotation
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi
112
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MICCAI
2004
Springer
16 years 3 months ago
Cervical Cancer Detection Using SVM Based Feature Screening
We present a novel feature screening algorithm by deriving relevance measures from the decision boundary of Support Vector Machines. It alleviates the "independence" assu...
Jiayong Zhang, Yanxi Liu