36 search results - page 2 / 8 » Located Hidden Random Fields: Learning Discriminative Parts ... |
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
CVPR
2009
IEEE
14 years 12 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...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
EUROCAST
1997
Springer
13 years 9 months ago
1997
Springer
The ability to detect object size, location and movement is essential for a visual system in either a biological or man made environment. In this paper we present a model for esti...
NIPS
2004
13 years 6 months ago
2004
We present a discriminative part-based approach for the recognition of object classes from unsegmented cluttered scenes. Objects are modeled as flexible constellations of parts co...