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TMI
2008
138views more  TMI 2008»
15 years 6 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
CIKM
2010
Springer
15 years 5 months ago
A method for discovering components of human rituals from streams of sensor data
This paper describes an algorithm for determining if an event occurs persistently within an interval where the interval is periodic but the event is not. The goal of the algorithm...
Athanasios Bamis, Jia Fang, Andreas Savvides
OTM
2010
Springer
15 years 4 months ago
Towards Using Semantic Decision Tables for Organizing Data Semantics
In the ITEA2 Do-It-Yourself Smart Experiences project (DIY-SE), we are required to design an ontology-based ambient computing environment to support users to DIY their personalized...
Yan Tang
IJMBL
2010
84views more  IJMBL 2010»
15 years 4 months ago
JAMIOLAS 3.0: Supporting Japanese Mimicry and Onomatopoeia Learning Using Sensor Data
: In this paper, we propose an improved context-aware system for supporting to learning Japanese mimicry and onomatopoeia (MIO) using sensor data. In our two previous studies, we p...
Bin Hou, Hiroaki Ogata, Masayuki Miyata, Mengmeng ...
BIRTHDAY
2010
Springer
15 years 3 months ago
Aspects of Data-Intensive Cloud Computing
Abstract. The concept of Cloud Computing is by now at the peak of public attention and adoption. Driven by several economic and technological enablers, Cloud Computing is going to ...
Sebastian Frischbier, Ilia Petrov