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PERVASIVE
2006
Springer
13 years 7 months ago
Building Reliable Activity Models Using Hierarchical Shrinkage and Mined Ontology
Abstract. Activity inference based on object use has received considerable recent attention. Such inference requires statistical models that map activities to the objects used in p...
Emmanuel Munguia Tapia, Tanzeem Choudhury, Matthai...
ANSS
2006
IEEE
14 years 1 months ago
Moderating Simulation Lag in Haptic Virtual Environments
Simulation lag is a known issue in networked virtual environments where users are geographically distributed. When users collaborate across the network using haptics, there are al...
Azzedine Boukerche, Shervin Shirmohammadi, Abuhoss...
VLDB
2003
ACM
165views Database» more  VLDB 2003»
14 years 8 months ago
Learning to match ontologies on the Semantic Web
On the Semantic Web, data will inevitably come from many different ontologies, and information processing across ontologies is not possible without knowing the semantic mappings be...
AnHai Doan, Jayant Madhavan, Robin Dhamankar, Pedr...
JCSS
2008
138views more  JCSS 2008»
13 years 7 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
AIME
2009
Springer
13 years 5 months ago
Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach
Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scan...
Aliaksei Kerhet, Cormac Small, Harvey Quon, Terenc...