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JMM2
2007
122views more  JMM2 2007»
13 years 5 months ago
Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
Abstract— Activity recognition in video streams is increasingly important for both the computer vision and artificial intelligence communities. Activity recognition has many app...
Justin Muncaster, Yunqian Ma
NN
2006
Springer
100views Neural Networks» more  NN 2006»
13 years 5 months ago
Perceiving the unusual: Temporal properties of hierarchical motor representations for action perception
Recent computational approaches to action imitation have advocated the use of hierarchical representations in the perception and imitation of demonstrated actions. Hierarchical re...
Yiannis Demiris, Gavin Simmons
RAS
2006
170views more  RAS 2006»
13 years 5 months ago
Hierarchical attentive multiple models for execution and recognition of actions
According to the motor theories of perception, the motor systems of an observer are actively involved in the perception of actions when these are performed by a demonstrator. In t...
Yiannis Demiris, Bassam Khadhouri
ICML
2009
IEEE
14 years 6 months ago
Unsupervised hierarchical modeling of locomotion styles
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
Wei Pan, Lorenzo Torresani
TMI
2010
182views more  TMI 2010»
13 years 4 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