Sciweavers

2295 search results - page 56 / 459
» Learning Overcomplete Representations
Sort
View
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
14 years 3 months ago
Learning 3-D object orientation from images
— We propose a learning algorithm for estimating the 3-D orientation of objects. Orientation learning is a difficult problem because the space of orientations is non-Euclidean, ...
Ashutosh Saxena, Justin Driemeyer, Andrew Y. Ng
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
14 years 13 hour ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
ICIP
2006
IEEE
14 years 10 months ago
Local Discriminant Embedding with Tensor Representation
We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...
Jian Xia, Dit-Yan Yeung, Guang Dai
ATAL
2008
Springer
13 years 10 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh
IJCINI
2007
106views more  IJCINI 2007»
13 years 8 months ago
The OAR Model of Neural Informatics for Internal Knowledge Representation in the Brain
The cognitive models of information representation are fundamental research areas in cognitive informatics, which attempts to reveal the mechanisms and potential of the brain in l...
Yingxu Wang