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COLING
2010
8 years 5 months ago
Unsupervised phonemic Chinese word segmentation using Adaptor Grammars
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...
Mark Johnson, Katherine Demuth
CCIA
2010
Springer
8 years 5 months ago
Real-Time Object Segmentation Using a Bag of Features Approach
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...
David Aldavert, Arnau Ramisa, Ramon López d...
ISVC
2010
Springer
8 years 8 months ago
Predicting Segmentation Accuracy for Biological Cell Images
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...
Adele P. Peskin, Alden Dima, Joe Chalfoun, John T....
EACL
2003
ACL Anthology
8 years 11 months ago
Linear Text Segmentation using a Dynamic Programming Algorithm
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...
Athanasios Kehagias, Pavlina Fragkou, Vassilios Pe...
ACL
2006
8 years 11 months ago
Minimum Cut Model for Spoken Lecture Segmentation
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...
Igor Malioutov, Regina Barzilay
3DIM
2003
IEEE
9 years 3 months ago
Deformable Model with Adaptive Mesh and Automated Topology Changes
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...
Jacques-Olivier Lachaud, Benjamin Taton
RSFDGRC
2005
Springer
100views Data Mining» more  RSFDGRC 2005»
9 years 3 months ago
A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts
Abstract. We introduce a hybrid approach to magnetic resonance image segmentation using unsupervised clustering and the rules derived from approximate decision reducts. We utilize ...
Sebastian Widz, Kenneth Revett, Dominik Slezak
ICIP
2009
IEEE
9 years 11 months ago
Segmentation Of Trabecular Bones From Vertebral Bodies In Volumetric Ct Spine Images
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
10 years 8 days ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...
CVPR
2008
IEEE
10 years 12 days ago
Semantic texton forests for image categorization and segmentation
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...
Jamie Shotton, Matthew Johnson, Roberto Cipolla
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