2295 search results - page 61 / 459 » Learning Overcomplete Representations |
87
Voted
AI
2004
Springer
15 years 6 months ago
2004
Springer
If we are to understand human-level intelligence, we need to understand how meanings can be learned without explicit instruction. I take a step toward that understanding by showing...
127
Voted
CICLING
2007
Springer
15 years 7 months ago
2007
Springer
Semantic parsing is the task of mapping a natural language sentence into a complete, formal meaning representation. Over the past decade, we have developed a number of machine lear...
110
Voted
ACL
2006
15 years 2 months ago
2006
We present a new approach for mapping natural language sentences to their formal meaning representations using stringkernel-based classifiers. Our system learns these classifiers ...
93
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
We propose a hybrid body representation that represents each typical pose by both template-like view information and part-based structural information. Specifically, each body par...
ICML
2010
IEEE
15 years 1 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...