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» Discovering Classification from Data of Multiple Sources
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ICMI
2009
Springer
146views Biometrics» more  ICMI 2009»
14 years 2 months ago
Learning from preferences and selected multimodal features of players
The influence of multimodal sources of input data to the construction of accurate computational models of user preferences is investigated in this paper. The case study presented...
Georgios N. Yannakakis
PERCOM
2007
ACM
14 years 7 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
DEXAW
2002
IEEE
107views Database» more  DEXAW 2002»
14 years 19 days ago
Semi-Automated Extraction of Ontological Knowledge from XML Datasources
In the paper we present a methodology for the semiautomated extraction of ontological knowledge from XML data sources in a given domain. We consider an interconnection scenario ov...
Silvana Castano, Valeria De Antonellis, Sabrina De...
PUC
2010
122views more  PUC 2010»
13 years 6 months ago
What is happening now? Detection of activities of daily living from simple visual features
We propose and investigate a paradigm for activity recognition, distinguishing the ‘on-going activity’ recognition task (OGA) from that addressing ‘complete activities’ (C...
Bruno Lepri, Nadia Mana, Alessandro Cappelletti, F...
HICSS
2005
IEEE
117views Biometrics» more  HICSS 2005»
14 years 1 months ago
Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches
Web content mining is intended to help people discover valuable information from large amount of unstructured data on the web. Movie review mining classifies movie reviews into tw...
Pimwadee Chaovalit, Lina Zhou