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PAMI
2011
14 years 9 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
MHCI
2009
Springer
16 years 27 days ago
Improving the recommendation of mobile services by interpreting the user's icon arrangement
The aether soon will be pervaded with a high density of digital services for usage on mobile phones. Personalization plays a crucial role for the success and acceptance of such sy...
Matthias Böhmer, Gernot Bauer
AH
2008
Springer
16 years 21 days ago
Supporting Users in Creating Pedagogically Sound Personalised Learning Objects
Successful eLearning is predicated on the application of pedagogies appropriate to online education that respond to the capabilities and needs of the learners. Typically, designing...
Aoife Brady, Owen Conlan, Vincent Wade, Declan Dag...
UM
2005
Springer
15 years 11 months ago
Exploiting Probabilistic Latent Information for the Construction of Community Web Directories
This paper improves a recently-presented approach to Web Personalization, named Community Web Directories, which applies personalization techniques to Web Directories. The Web dire...
Dimitrios Pierrakos, Georgios Paliouras
ECCV
2006
Springer
15 years 10 months ago
Human Pose Tracking Using Multi-level Structured Models
Tracking body poses of multiple persons in monocular video is a challenging problem due to the high dimensionality of the state space and issues such as inter-occlusion of the pers...
Mun Wai Lee, Ramakant Nevatia