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PRIB
2010
Springer
242views Bioinformatics» more  PRIB 2010»
13 years 6 months ago
Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
Scott Doyle, Anant Madabhushi
IBPRIA
2007
Springer
14 years 2 months ago
Estimation of Multiple Objects at Unknown Locations with Active Contours
Abstract. This paper presents an algorithm for the estimation of multiple regions with unknown shapes and positions using multiple active contour models (ACM’s). The algorithm or...
Margarida Silveira, Jorge S. Marques
IPSN
2004
Springer
14 years 1 months ago
Backcasting: adaptive sampling for sensor networks
Wireless sensor networks provide an attractive approach to spatially monitoring environments. Wireless technology makes these systems relatively flexible, but also places heavy d...
Rebecca Willett, Aline Martin, Robert Nowak
BMCBI
2008
149views more  BMCBI 2008»
13 years 8 months ago
Accelerating the annotation of sparse named entities by dynamic sentence selection
This paper presents an active learning-like framework for reducing the human effort for making named entity annotations in a corpus. In this framework, the annotation work is perf...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
ILP
2003
Springer
14 years 1 months ago
A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting
Boosting has established itself as a successful technique for decreasing the generalization error of classification learners by basing predictions on ensembles of hypotheses. Whil...
Susanne Hoche, Stefan Wrobel