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» Sampling Methods for Unsupervised Learning
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ICMLA
2007
15 years 4 months ago
Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text
We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...
Rómer Rosales, Praveen Krishnamurthy, R. Bh...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 8 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai
ICRA
2008
IEEE
129views Robotics» more  ICRA 2008»
15 years 9 months ago
Compliant manipulation for peg-in-hole: Is passive compliance a key to learn contact motion?
— We examine the usefulness of passive compliance in a manipulator that learns contact motion. Based on the notice that humans outperforms robots with the contact motion, we foll...
Seung-kook Yun
CVPR
2009
IEEE
16 years 10 months ago
Learning Mappings for Face Synthesis from Near Infrared to Visual Light Images
This paper deals with a new problem in face recognition research, in which the enrollment and query face samples are captured under different lighting conditions. In our case, t...
Jie Chen, Dong Yi, Jimei Yang, Guoying Zhao, Stan ...
148
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CVPR
2012
IEEE
13 years 5 months ago
Geometry constrained sparse coding for single image super-resolution
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan, Yuan Yua...