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IJCNN
2000
IEEE
15 years 11 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen
CONTEXT
1999
Springer
15 years 11 months ago
Dynamics and Automaticity of Context: A Cognitive Modeling Approach
AI and psychological approaches to context are contrasted and the dynamic and automatic nature of the continuous context change in human cognition is emphasized. A dynamic theory o...
Boicho N. Kokinov
EUSAI
2007
Springer
15 years 10 months ago
Toward Recognition of Short and Non-repetitive Activities from Wearable Sensors
Activity recognition has gained a lot of interest in recent years due to its potential and usefulness for context-aware computing. Most approaches for activity recognition focus on...
Andreas Zinnen, Kristof Van Laerhoven, Bernt Schie...
NIPS
2004
15 years 8 months ago
Joint Probabilistic Curve Clustering and Alignment
Clustering and prediction of sets of curves is an important problem in many areas of science and engineering. It is often the case that curves tend to be misaligned from each othe...
Scott Gaffney, Padhraic Smyth
PDPTA
2003
15 years 8 months ago
Disconnection Metadata for Distributed Applications in Mobile Environments
The need to continue to work in a mobile environment raises the problem of data availability in the presence of disconnections. Our approach aiming at solving this problem is to m...
Nabil Kouici, Denis Conan, Guy Bernard