1380 search results - page 33 / 276 » Learning Hierarchical Shape Models from Examples |
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We propose a novel approach to learn and recognize natural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We represent t...
NIPS
2008
13 years 9 months ago
2008
We present an approach that combines bag-of-words and spatial models to perform semantic and syntactic analysis for recognition of an object based on its internal appearance and i...
ACL
2010
13 years 5 months ago
2010
One of the main obstacles to producing high quality joint models is the lack of jointly annotated data. Joint modeling of multiple natural language processing tasks outperforms si...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
We consider a natural framework of learning from correlated data, in which successive examples used for learning are generated according to a random walk over the space of possibl...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Much of the research on video-based human motion capture assumes the body shape is known a priori and is represented coarsely (e.g. using cylinders or superquadrics to model limbs...