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» Learning Spatiotemporal Graphs of Human Activities
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ISWC
2003
IEEE
13 years 11 months ago
Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing
Context-aware computing describes the situation where a wearable / mobile computer is aware of its user’s state and surroundings and modifies its behavior based on this informat...
Andreas Krause, Daniel P. Siewiorek, Asim Smailagi...
CVPR
2012
IEEE
11 years 8 months ago
Sum-product networks for modeling activities with stochastic structure
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
Mohamed R. Amer, Sinisa Todorovic
IROS
2008
IEEE
125views Robotics» more  IROS 2008»
14 years 5 days ago
Neighborhood denoising for learning high-dimensional grasping manifolds
— Human control of high degree-of-freedom robotic systems, e.g. anthropomorphic robot hands, is often difficult due to the overwhelming number of variables that need to be speci...
Aggeliki Tsoli, Odest Chadwicke Jenkins
FLAIRS
2008
13 years 8 months ago
Towards Verification of Storyboards
Storyboards are commonly known as rows of pictures, which exemplarily sketch scenes in performing arts. The rows specify the sequence of scenes. The scenes themselves are illustra...
Rainer Knauf, Horst Duesel
ICDM
2010
IEEE
186views Data Mining» more  ICDM 2010»
13 years 3 months ago
MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
Human emotion is one important underlying force affecting and affected by the dynamics of social networks. An interesting question is "can we predict a person's mood base...
Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jing...