15 search results - page 2 / 3 » Hierarchical Learning of Dominant Constellations for Object ... |
CVPR
2000
IEEE
14 years 8 months ago
2000
IEEE
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
BVAI
2007
Springer
14 years 5 days ago
2007
Springer
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
We present a hierarchical classification model that allows rare objects to borrow statistical strength from related objects that have many training examples. Unlike many of the e...
CVPR
2012
IEEE
11 years 8 months ago
2012
IEEE
Categories in multi-class data are often part of an underlying semantic taxonomy. Recent work in object classification has found interesting ways to use this taxonomy structure t...
CVPR
1998
IEEE
14 years 8 months ago
1998
IEEE
This paper presents a new technique for modelling object classes (such as faces) and matching the model to novel images from the object class. The technique can be used for a vari...