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FLAIRS
2008
14 years 10 days ago
Learning Dynamic Naive Bayesian Classifiers
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
Miriam Martínez, Luis Enrique Sucar
SAMT
2009
Springer
176views Multimedia» more  SAMT 2009»
14 years 4 months ago
Shape-Based Autotagging of 3D Models for Retrieval
This paper describes an automatic annotation, or autotagging, algorithm that attaches textual tags to 3D models based on their shape and semantic classes. The proposed method emplo...
Ryutarou Ohbuchi, Shun Kawamura
CAISE
2009
Springer
14 years 4 months ago
Enterprise Meta Modeling Methods - Combining a Stakeholder-Oriented and a Causality-Based Approach
Meta models are the core of enterprise architecture, but still few methods are available for the creation of meta models tailored for specific purposes. This paper presents two app...
Robert Lagerström, Jan Saat, Ulrik Franke, St...
CSCW
2004
ACM
14 years 3 months ago
BusyBody: creating and fielding personalized models of the cost of interruption
Interest has been growing in opportunities to build and deploy statistical models that can infer a computer user’s current interruptability from computer activity and relevant c...
Eric Horvitz, Paul Koch, Johnson Apacible
ASIAMS
2008
IEEE
14 years 1 days ago
Modeling Group Decision-Making for Collaborative Teams in Enterprises
Multicriteria analysis can be incorporated as a method to model preferences and facilitate decision making within a group of decision makers. In this paper we present a Group Deci...
George Rigopoulos, Nikolaos V. Karadimas, Alessand...