116 search results - page 2 / 24 » On Learning the Statistical Representation of a Task and Gen... |
TROB
2010
12 years 12 months ago
2010
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
NIPS
2004
13 years 6 months ago
2004
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
ICRA
2009
IEEE
13 years 12 months ago
2009
IEEE
— We provide a general approach for learning robotic motor skills from human demonstration. To represent an observed movement, a non-linear differential equation is learned such ...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
AUSAI
2008
Springer
13 years 7 months ago
2008
Springer
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...