COLING
2010
13 years 6 months ago
2010
Adaptor grammars are a framework for expressing and performing inference over a variety of non-parametric linguistic models. These models currently provide state-of-the-art perfor...
CCIA
2010
Springer
13 years 6 months ago
2010
Springer
In this paper, we propose an object segmentation framework, based on the popular bag of features (BoF), which can process several images per second while achieving a good segmentat...
ISVC
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. We have performed segmentation procedures on a large number of images from two mammalian cell lines that were seeded at low density, in order to study trends in the segme...
EACL
2003
ACL Anthology
14 years 27 days ago
2003
ACL Anthology
In this paper we introduce a dynamic programming algorithm to perform linear text segmentation by global minimization of a segmentation cost function which consists of: (a) within...
ACL
2006
14 years 28 days ago
2006
We consider the task of unsupervised lecture segmentation. We formalize segmentation as a graph-partitioning task that optimizes the normalized cut criterion. Our approach moves b...
3DIM
2003
IEEE
14 years 4 months ago
2003
IEEE
Due to their general and robust formulation deformable models offer a very appealing approach to 3D image segmentation. However there is a trade-off between model genericity, mode...
RSFDGRC
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. We introduce a hybrid approach to magnetic resonance image segmentation using unsupervised clustering and the rules derived from approximate decision reducts. We utilize ...
ICIP
2009
IEEE
15 years 17 days ago
2009
IEEE
We present a 3D segmentation technique of trabecular (cancellous) bones in CT images of Vertebral bodies (VBs). In order to be used for Bone Mineral Density (BMD) measurements, th...
ECCV
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
We propose semantic texton forests, efficient and powerful new low-level features. These are ensembles of decision trees that act directly on image pixels, and therefore do not ne...