206 search results - page 2 / 42 » Unsupervised Learning of Categories from Sets of Partially M... |
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
Rare category analysis is of key importance both in theory and in practice. Previous research work focuses on supervised rare category analysis, such as rare category detection an...
ICRA
2009
IEEE
13 years 11 months ago
2009
IEEE
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
CVPR
2000
IEEE
14 years 6 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...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...