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IJRR
2007
186views more  IJRR 2007»
15 years 6 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
129
Voted
TIP
2008
116views more  TIP 2008»
15 years 6 months ago
Automatic Active Model Initialization via Poisson Inverse Gradient
Abstract--Active models have been widely used in image processing applications. A crucial stage that affects the ultimate active model performance is initialization. This paper pro...
Bing Li, Scott T. Acton
KI
2010
Springer
15 years 4 months ago
Towards High-Level Human Activity Recognition through Computer Vision and Temporal Logic
Most approaches to the visual perception of humans do not include high-level activity recognitition. This paper presents a system that fuses and interprets the outputs of several c...
Joris Ijsselmuiden, Rainer Stiefelhagen
ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
16 years 4 days ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
LOCA
2009
Springer
15 years 10 months ago
Multi Activity Recognition Based on Bodymodel-Derived Primitives
Abstract. We propose a novel model-based approach to activity recognition using high-level primitives that are derived from a human body model estimated from sensor data. Using sho...
Andreas Zinnen, Christian Wojek, Bernt Schiele