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DAGM
2010
Springer
15 years 6 months ago
On-Line Multi-view Forests for Tracking
Abstract. A successful approach to tracking is to on-line learn discriminative classifiers for the target objects. Although these trackingby-detection approaches are usually fast a...
Christian Leistner, Martin Godec, Amir Saffari, Ho...
ECML
2005
Springer
15 years 11 months ago
Learning to Complete Sentences
Abstract. We consider the problem of predicting how a user will continue a given initial text fragment. Intuitively, our goal is to develop a “tab-complete” function for natura...
Steffen Bickel, Peter Haider, Tobias Scheffer
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 5 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
ARTMED
2006
75views more  ARTMED 2006»
15 years 5 months ago
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
Martin Atzmüller, Joachim Baumeister, Frank P...
ML
2010
ACM
135views Machine Learning» more  ML 2010»
15 years 7 days ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer