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JMLR
2010
140views more  JMLR 2010»
13 years 5 months ago
Learning From Crowds
For many supervised learning tasks it may be infeasible (or very expensive) to obtain objective and reliable labels. Instead, we can collect subjective (possibly noisy) labels fro...
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerard...
EMNLP
2011
12 years 10 months ago
Dual Decomposition with Many Overlapping Components
Dual decomposition has been recently proposed as a way of combining complementary models, with a boost in predictive power. However, in cases where lightweight decompositions are ...
André L. Martins, Noah A. Smith, Már...
ICDAR
2011
IEEE
12 years 9 months ago
Recognizing Characters with Severe Perspective Distortion Using Hash Tables and Perspective Invariants
—In this paper, we present a novel method to recognize characters with severe perspective distortion using hash tables and perspective invariants. The proposed algorithm consists...
Pan Pan, Yuanping Zhu, Jun Sun 0004, Satoshi Naoi
CISS
2008
IEEE
14 years 4 months ago
The Chinese Generals Problem
Abstract—To achieve higher reliability, safety, and faulttolerance, many mission-critical detection and decision systems implement consensus algorithms that force the systems’ ...
Edwin Soedarmadji
MCS
2009
Springer
14 years 2 months ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar