2865 search results - page 163 / 573 » Learning Models for Object Recognition |
MCS
2009
Springer
15 years 5 months ago
2009
Springer
Machine Learning can be divided into two schools of thought: generative model learning and discriminative model learning. While the MCS community has been focused mainly on the lat...
MM
2006
ACM
15 years 4 months ago
2006
ACM
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
75
Voted
PSIVT
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Most previous methods for generic object recognition explicitly or implicitly assume that an image contains objects from a single category, although objects from multiple...
123
Voted
CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
We present a new method for classification with structured
latent variables. Our model is formulated using the
max-margin formalism in the discriminative learning literature.
We...