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129
Voted
GECCO
2006
Springer
15 years 7 months ago
2006
Springer
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
128
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
144
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ICIP
2006
IEEE
16 years 5 months ago
2006
IEEE
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
136
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ICMLC
2010
Springer
15 years 2 months ago
2010
Springer
: Facing the 21st century the age of exploration-increasing of all kinds of knowledge and quickly development of information, how to promote the competition potential of our citize...
139
Voted
ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
We cast some new insights into solving the digital matting
problem by treating it as a semi-supervised learning
task in machine learning. A local learning based approach
and a g...