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» Evaluating algorithms that learn from data streams
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CVPR
2008
IEEE
16 years 8 months ago
Constrained image segmentation from hierarchical boundaries
In this paper, we address the problem of constrained segmentation of natural images, in which a human user places one seed point inside each object of interest in the image and th...
Pablo Arbelaez, Laurent D. Cohen
ECCV
2004
Springer
16 years 8 months ago
Evaluation of Robust Fitting Based Detection
Low-level image processing algorithms generally provide noisy features that are far from being Gaussian. Medium-level tasks such as object detection must therefore be robust to out...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...
ISBI
2006
IEEE
16 years 7 months ago
Evaluation of anisotropic filters for diffusion tensor imaging
Diffusion tensor imaging (DTI) measures, such as fractional anisotropy (FA), and trace are very sensitive to noise contained in the acquired diffusion weighted images. Typical iso...
Jee Eun Lee, Moo K. Chung, Andrew L. Alexander
ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
16 years 1 months ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...
ECAI
2000
Springer
15 years 11 months ago
Similarity-based Approach to Relevance Learning
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
Rickard Cöster, Lars Asker