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» Modeling Workflow Patterns from First Principles
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223
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ROCAI
2004
Springer
15 years 7 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
ICPR
2008
IEEE
16 years 3 months ago
Seamless image-based texture atlases using multi-band blending
In this paper, we propose a novel method for creating a high-quality texture atlas from a 3D model and a set of calibrated images. Our method focuses on avoiding visual artifacts ...
Cédric Allène, Jean-Philippe Pons, R...
102
Voted
TVCG
2008
112views more  TVCG 2008»
15 years 1 months ago
Text Scaffolds for Effective Surface Labeling
In this paper we introduce a technique for applying textual labels to 3D surfaces. An effective labeling must balance the conflicting goals of conveying the shape of the surface wh...
Gregory Cipriano, Michael Gleicher
115
Voted
JNW
2008
167views more  JNW 2008»
15 years 1 months ago
Analyzing the ENRON Communication Network Using Agent-Based Simulation
Agent-based modeling, simulation, and network analysis approaches are one of the emergent techniques among soft computing literature. This paper presents an agent-based model for a...
Shinako Matsuyama, Takao Terano
120
Voted
ANLP
1994
108views more  ANLP 1994»
15 years 3 months ago
Does Baum-Welch Re-estimation Help Taggers?
In part of speech tagging by Hidden Markov Model, a statistical model is used to assign grammatical categories to words in a text. Early work in the field relied on a corpus which...
David Elworthy