6 search results - page 1 / 2 » A framework to detect and classify activity transitions in l... |
ICMCS
2009
IEEE
13 years 2 months ago
2009
IEEE
Minimizing the number of computations a low-power device makes is important to achieve long battery life. In this paper we present a framework for a low-power device to minimize t...
ICML
2010
IEEE
13 years 4 months ago
2010
IEEE
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
MOBISYS
2009
ACM
14 years 4 months ago
2009
ACM
Urban sensing, participatory sensing, and user activity recognition can provide rich contextual information for mobile applications such as social networking and location-based se...
ECCV
2010
Springer
13 years 7 months ago
2010
Springer
Grouping and Abstraction Using Simple Part Models Pablo Sala and Sven Dickinson Department of Computer Science, University of Toronto, Toronto ON, Canada We address the problem of ...