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» Image Based Regression Using Boosting Method
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ICIP
2007
IEEE
14 years 10 months ago
Color Image Superresolution Based on a Stochastic Combinational Classification-Regression Algorithm
Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
Karl S. Ni, Truong Q. Nguyen
IJCAI
2003
13 years 9 months ago
Constructing Diverse Classifier Ensembles using Artificial Training Examples
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
Prem Melville, Raymond J. Mooney
ICDAR
2009
IEEE
14 years 3 months ago
Text Detection and Localization in Complex Scene Images using Constrained AdaBoost Algorithm
We have proposed a complete system for text detection and localization in gray scale scene images. A boosting framework integrating feature and weak classifier selection based on...
Shehzad Muhammad Hanif, Lionel Prevost
IEICET
2010
207views more  IEICET 2010»
13 years 7 months ago
A Semi-Supervised Approach to Perceived Age Prediction from Face Images
We address the problem of perceived age estimation from face images, and propose a new semi-supervised approach involving two novel aspects. The first novelty is an efficient act...
Kazuya Ueki, Masashi Sugiyama, Yasuyuki Ihara
CVPR
2005
IEEE
14 years 10 months ago
Boosting Saliency in Color Image Features
The aim of salient point detection is to find distinctive events in images. Salient features are generally determined from the local differential structure of images. They focus o...
Joost van de Weijer, Theo Gevers