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UIST
2010
ACM
13 years 7 months ago
Pen + touch = new tools
We describe techniques for direct pen+touch input. We observe people's manual behaviors with physical paper and notebooks. These serve as the foundation for a prototype Micro...
Ken Hinckley, Koji Yatani, Michel Pahud, Nicole Co...
ICPR
2006
IEEE
14 years 10 months ago
A New Data Selection Principle for Semi-Supervised Incremental Learning
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
Alexander I. Rudnicky, Rong Zhang
PRIS
2008
13 years 10 months ago
Comparison of Adaboost and ADTboost for Feature Subset Selection
Abstract. This paper addresses the problem of feature selection within classification processes. We present a comparison of a feature subset selection with respect to two boosting ...
Martin Drauschke, Wolfgang Förstner
EKAW
2006
Springer
14 years 22 days ago
Ontology Selection for the Real Semantic Web: How to Cover the Queen's Birthday Dinner?
Robust mechanisms for ontology selection are crucial for the evolving Semantic Web characterized by rapidly increasing numbers of online ontologies and by applications that automat...
Marta Sabou, Vanessa Lopez, Enrico Motta
DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
14 years 3 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer