128 search results - page 5 / 26 » Learning Rotations |
FLAIRS
2010
13 years 9 months ago
2010
A vision-based machine learner is presented that learns characteristic hand and object movement patterns for using certain objects, and uses this information to recreate the "...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
Current texture analysis methods enable good discrimination but are computationally too expensive for applications which require high frame rates. This occurs because they use red...
CIMCA
2005
IEEE
14 years 29 days ago
2005
IEEE
Despite the tremendous progress in robotic hardware and in both sensorial and computing efficiencies the performance of contemporary autonomous robots is still far below that of ...
NIPS
2004
13 years 8 months ago
2004
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...