249 search results - page 5 / 50 » Latent Hierarchical Structural Learning for Object Detection |
JMLR
2012
11 years 10 months ago
2012
Many real-world problems are inherently hierarchically structured. The use of this structure in an agent’s policy may well be the key to improved scalability and higher performa...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
This paper describes a discriminatively trained, multiscale, deformable part model for object detection. Our system achieves a two-fold improvement in average precision over the b...
EMNLP
2010
13 years 5 months ago
2010
In this paper, we present a novel approach to enhance hierarchical phrase-based machine translation systems with linguistically motivated syntactic features. Rather than directly ...
NIPS
1998
13 years 8 months ago
1998
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
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...