242 search results - page 6 / 49 » Learning human actions via information maximization |
ICPR
2010
IEEE
15 years 3 months ago
2010
IEEE
—In this paper we evaluate the use of Restricted Bolzmann Machines (RBM) in the context of learning and recognizing human actions. The features used as basis are binary silhouett...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
EMNLP
2008
14 years 11 months ago
2008
Although Machine Translation (MT) is a very active research field which is receiving an increasing amount of attention from the research community, the results that current MT sys...
IJCAI
2007
14 years 11 months ago
2007
The association of perception and action is key to learning by observation in general, and to programlevel task imitation in particular. The question is how to structure this info...
IJON
2007
14 years 9 months ago
2007
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...