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» Active Learning Driven Data Acquisition for Sensor Networks
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MOBISYS
2007
ACM
14 years 5 months ago
Algorithm to automatically detect abnormally long periods of inactivity in a home
An algorithm has been developed to automatically construct individual models of normal activity within a home using motion sensor data. Alerts can be generated when a period of in...
Paul Cuddihy, Jenny Weisenberg, Catherine Graichen...
ICPR
2010
IEEE
13 years 8 months ago
Deep Belief Networks for Real-Time Extraction of Tongue Contours from Ultrasound During Speech
Ultrasound has become a useful tool for speech scientists studying mechanisms of language sound production. State-of-the-art methods for extracting tongue contours from ultrasound...
Ian Fasel, Jeff Berry
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 6 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
ICCV
2007
IEEE
14 years 7 months ago
A Scalable Approach to Activity Recognition based on Object Use
We propose an approach to activity recognition based on detecting and analyzing the sequence of objects that are being manipulated by the user. In domains such as cooking, where m...
Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, ...
HUC
2010
Springer
13 years 3 months ago
Routine as resource for the design of learning systems
Even though the coordination of kids’ activities is largely successful, the modern dual income family still regularly experiences breakdowns in their practices. Families often r...
Scott Davidoff