2507 search results - page 202 / 502 » Learning Low-Level Vision |
98
Voted
NIPS
1993
15 years 3 months ago
1993
Most connectionist research has focused on learning mappings from one space to another (eg. classification and regression). This paper introduces the more general task of learnin...
136
Voted
BC
2006
15 years 2 months ago
2006
Abstract The cerebral cortex utilizes spatiotemporal continuity in the world to help build invariant representations. In vision, these might be representations of objects. The temp...
116
click to vote
ICCV
1999
IEEE
16 years 4 months ago
1999
IEEE
This paper presents a control structure for general purpose image understanding that addresses both the high level of uncertainty in local hypotheses and the computational complex...
150
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
Latent Variable Models (LVM), like the Shared-GPLVM
and the Spectral Latent Variable Model, help mitigate over-
fitting when learning discriminative methods from small or
modera...
126
Voted
CVPR
2005
IEEE
16 years 4 months ago
2005
IEEE
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...