315 search results - page 10 / 63 » Structural Learning from Iconic Representations |
IEEEICCI
2009
IEEE
13 years 7 months ago
2009
IEEE
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
AAAI
2011
12 years 9 months ago
2011
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
AI
2007
Springer
13 years 10 months ago
2007
Springer
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
We propose low-rank representation (LRR) to segment data drawn from a union of multiple linear (or affine) subspaces. Given a set of data vectors, LRR seeks the lowestrank represe...