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ICML
2003
IEEE
16 years 5 months ago
Using Linear-threshold Algorithms to Combine Multi-class Sub-experts
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
Chris Mesterharm
ACL
2008
15 years 5 months ago
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
CIVR
2006
Springer
201views Image Analysis» more  CIVR 2006»
15 years 8 months ago
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
Rong Yan, Alexander G. Hauptmann
ICML
2009
IEEE
16 years 5 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
ICIP
2001
IEEE
16 years 6 months ago
Similarity measure for CCITT Group 4 compressed document images
Similarity measure of document images acts a crucial role in the area of document image retrieval. A method of measuring the similarity of CCITT Group 4 compressed document images...
Yue Lu, Chew Lim Tan, Liying Fan, Weihua Huang