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IJRR
2007
186views more  IJRR 2007»
15 years 4 months ago
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Lin Liao, Dieter Fox, Henry A. Kautz
CHI
2008
ACM
16 years 4 months ago
Activity sensing in the wild: a field trial of ubifit garden
Recent advances in small inexpensive sensors, low-power processing, and activity modeling have enabled applications that use on-body sensing and machine learning to infer people&#...
Sunny Consolvo, David W. McDonald, Tammy Toscos, M...
TMI
2010
182views more  TMI 2010»
15 years 2 months ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern
ICPR
2008
IEEE
15 years 11 months ago
Online anomal movement detection based on unsupervised incremental learning
We propose an online anomal movement detection method using incremental unsupervised learning. As the feature for discrimination, we extract the principal component of the spatio-...
Kyoko Sudo, Tatsuya Osawa, Hidenori Tanaka, Hideki...
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SBRN
2008
IEEE
15 years 11 months ago
Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing
The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...