329 search results - page 47 / 66 » Learning Compositional Categorization Models |
IJCV
2007
13 years 7 months ago
2007
In this paper, we present a novel image representation that renders it possible to access natural scenes by local semantic description. Our work is motivated by the continuing effo...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
ISAMI
2010
13 years 5 months ago
2010
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
: Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
ICFP
2002
ACM
14 years 7 months ago
2002
ACM
Monads are a useful abstraction of computation, as they model diverse computational effects such as stateful computations, exceptions and I/O in a uniform manner. Their potential ...