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GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
15 years 10 months ago
A representational ecology for learning classifier systems
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...
James A. R. Marshall, Tim Kovacs
ICML
2007
IEEE
16 years 7 months ago
Comparisons of sequence labeling algorithms and extensions
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...
Nam Nguyen, Yunsong Guo
ICIP
2006
IEEE
16 years 8 months ago
Unsupervised Image Layout Extraction
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...
David Liu, Datong Chen, Tsuhan Chen
ICMLC
2010
Springer
15 years 4 months ago
Initiated language learning machine with multi-media and speech-recognition techniques
: 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...
Dong-Liang Lee, Chun-Liang Hsu, Sheng-Yuan Yang, W...
ICCV
2009
IEEE
1184views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Learning Based Digital Matting
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...
Yuanjie Zheng, Chandra Kambhamettu