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CORR
2011
Springer
301views Education» more  CORR 2011»
12 years 11 months ago
Human Activity Detection from RGBD Images
Being able to detect and recognize human activities is important for making personal assistant robots useful in performing assistive tasks. The challenge is to develop a system th...
Jaeyong Sung, Colin Ponce, Bart Selman, Ashutosh S...
IJCAI
2007
13 years 9 months ago
Common Sense Based Joint Training of Human Activity Recognizers
Given sensors to detect object use, commonsense priors of object usage in activities can reduce the need for labeled data in learning activity models. It is often useful, however,...
Shiaokai Wang, William Pentney, Ana-Maria Popescu,...
CVPR
2010
IEEE
14 years 3 months ago
Dynamical Binary Latent Variable Models for 3D Human Pose Tracking
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
Graham Taylor, Leonid Sigal, David Fleet, Geoffrey...
ALT
2008
Springer
14 years 4 months ago
Computational Models of Neural Representations in the Human Brain
Abstract For many centuries scientists have wondered how the human brain represents thoughts in terms of the underlying biology of neural activity. Philosophers, linguists, cogniti...
Tom M. Mitchell
WWW
2004
ACM
14 years 8 months ago
Active e-course for constructivist learning
An active e-course is a self-representable and self-organizable document mechanism with a flexible structure. The kernel of the active e-course is to organize learning materials i...
Hai Zhuge, Yanyan Li