227 search results - page 3 / 46 » Learning to Localize Objects with Structured Output Regressi... |
119
Voted
CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
The goal of this paper is to find sparse and representative spatial priors that can be applied to part-based object localization. Assuming a GMRF prior over part configurations, w...
135
Voted
NIPS
2008
15 years 5 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
111
click to vote
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
We consider the problem of dimensionality reduction, where given high-dimensional data we want to estimate two mappings: from high to low dimension (dimensionality reduction) and f...
140
Voted
ECML
2006
Springer
15 years 7 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
167
Voted
CVPR
2010
IEEE
15 years 1 months ago
2010
IEEE
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...