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» Lazy texture selection based on active learning
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UAI
2004
15 years 8 days ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
ISBI
2007
IEEE
15 years 5 months ago
Dynamic Texture Based Heart Localization and Segmentation in 4-D Cardiac Images
In this paper we present a dynamic texture based motion segmentation approach to address the challenging problem of heart localization and segmentation in 4D Spatio-temporal cardi...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas,...
89
Voted
WWW
2001
ACM
15 years 11 months ago
An intelligent distributed environment for active learning
Active learning is an e ective learning approach. In this paper, we present an intelligent agent assisted environment for active learning. The system is to better support studentc...
Yi Shang, Hongchi Shi, Su-Shing Chen
90
Voted
ENTCS
2007
113views more  ENTCS 2007»
14 years 11 months ago
The Interactive Curry Observation Debugger iCODE
Debugging by observing the evaluation of expressions and functions is a useful approach for finding bugs in lazy functional and functional logic programs. However, adding and rem...
Parissa H. Sadeghi, Frank Huch
128
Voted
CVPR
2011
IEEE
14 years 8 months ago
Dynamic Batch Mode Active Learning
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Shayok Chakraborty, Vineeth Balasubramanian, Sethu...