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» Sampling Methods for Unsupervised Learning
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ICPR
2008
IEEE
16 years 3 months ago
Hand posture recognition with co-training
As an emerging human-computer interaction approachvision based hand interaction is more natural and efficient. Howeverin order to achieve high accuracy, most of the existing hand ...
Yikai Fang, Jian Cheng, Jinqiao Wang, Kongqiao Wan...
HIS
2008
15 years 3 months ago
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
Hernán Ahumada, Guillermo L. Grinblat, Luca...
ICIP
2010
IEEE
14 years 11 months ago
Filterbank-based universal demosaicking
Recent advances in spatio-spectral sampling and panchromatic pixels have contributed to increased spatial resolution and enhanced noise performance. As such, it is necessary to co...
Jing Gu, Patrick J. Wolfe, Keigo Hirakawa
BMCBI
2010
186views more  BMCBI 2010»
15 years 2 months ago
Knowledge-based biomedical word sense disambiguation: comparison of approaches
Background: Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be u...
Antonio Jimeno Yepes, Alan R. Aronson
125
Voted
PR
2006
141views more  PR 2006»
15 years 2 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung