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» Segmented Iterators and Hierarchical Algorithms
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CVRMED
1997
Springer
15 years 1 months ago
Volumetric medical images segmentation using shape constrained deformable models
In this paper we address the problem of extracting geometric models from low contrast volumetric images, given a template or reference shape of that model. We proceed by deforming...
Johan Montagnat, Hervé Delingette
ICIP
2000
IEEE
15 years 11 months ago
Unsupervised Color Texture Feature Extraction and Selection for Soccer Image Segmentation
In this paper, we describe a new approach for color texture featureextraction and selection. We definecolortexturefeatures as texture features which are computed by taking into ac...
Nicolas Vandenbroucke, Ludovic Macaire, Jack-G&eac...
ICML
2001
IEEE
15 years 10 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
ICIP
2003
IEEE
15 years 11 months ago
Scalable object-based image retrieval
Digital visual libraries have currently available huge amounts of content in unstructured, nonindexed form. Since these collections keep growing fast, retrieving specific images i...
Tsz Ying Lui, Ebroul Izquierdo
CLEF
2007
Springer
15 years 3 months ago
Unsupervised and Knowledge-Free Morpheme Segmentation and Analysis
This paper presents a revised version of an unsupervised and knowledge-free morpheme boundary detection algorithm based on letter successor variety (LSV) and a trie classifier [5...
Stefan Bordag