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» Ensemble Learning Based on Multi-Task Class Labels
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ICIP
2009
IEEE
13 years 6 months ago
Labelfaces: Parsing facial features by multiclass labeling with an epitome prior
We consider the problem of parsing facial features from an image labeling perspective. We learn a per-pixel unary classifier, and a prior over expected label configurations, allow...
Jonathan Warrell, Simon J. D. Prince
ICML
2007
IEEE
14 years 9 months ago
Gradient boosting for kernelized output spaces
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
Florence d'Alché-Buc, Louis Wehenkel, Pierr...
MMM
2007
Springer
129views Multimedia» more  MMM 2007»
14 years 2 months ago
A New Method to Improve Multi Font Farsi/Arabic Character Segmentation Results: Using Extra Classes of Some Character Combinatio
A new segmentation algorithm for multifont Farsi/Arabic texts based on conditional labeling of up and down contours was presented in [1]. A preprocessing technique was used to adju...
Mona Omidyeganeh, Reza Azmi, Kambiz Nayebi, Abbas ...
CVPR
2012
IEEE
11 years 11 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
KDD
2009
ACM
150views Data Mining» more  KDD 2009»
14 years 9 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee