41 search results - page 3 / 9 » Hierarchical Statistical Learning of Generic Parts of Object... |
SDM
2012
SIAM
11 years 8 months ago
2012
SIAM
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
A successful representation of objects in the literature is as a collection of patches, or parts, with a certain appearance and position. The relative locations of the different p...
CIKM
2004
Springer
13 years 11 months ago
2004
Springer
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...
NIPS
2007
13 years 7 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...