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» Using Data Mining to Estimate Missing Sensor Data
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HICSS
2011
IEEE
261views Biometrics» more  HICSS 2011»
14 years 9 months ago
Improved Patient Outcomes through Collaborative Monitoring and Management of Subtle Behavioral and Physiological Health Changes
This paper describes a highly mobile collaborative patient-centric, self-monitoring, symptom recognition and self intervention system along with a complementary clinical nursing t...
Paul J. Fortier, Brendon Puntin, Osama Aljaroudi
LOCA
2009
Springer
15 years 10 months ago
Multi Activity Recognition Based on Bodymodel-Derived Primitives
Abstract. We propose a novel model-based approach to activity recognition using high-level primitives that are derived from a human body model estimated from sensor data. Using sho...
Andreas Zinnen, Christian Wojek, Bernt Schiele
ITC
1995
IEEE
102views Hardware» more  ITC 1995»
15 years 9 months ago
Visualizing Quality
Real-world data is known to be imperfect, suffering from various forms of defects such as sensor variability, estimation errors, uncertainty, human errors in data entry, and gaps ...
Solomon Max
EWMF
2005
Springer
15 years 11 months ago
Introducing Semantics in Web Personalization: The Role of Ontologies
Web personalization is the process of customizing a web site to the needs of each specific user or set of users. Personalization of a web site may be performed by the provision of ...
Magdalini Eirinaki, Dimitrios Mavroeidis, George T...
KDD
2009
ACM
215views Data Mining» more  KDD 2009»
16 years 6 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye