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» Geometric Clustering Using the Information Bottleneck Method
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IJCV
2006
262views more  IJCV 2006»
14 years 9 months ago
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
In this paper, we propose a new variational model to segment an object belonging to a given shape space using the active contour method, a geometric shape prior and the Mumford-Sha...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...
IDA
2003
Springer
15 years 2 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
JODL
2000
76views more  JODL 2000»
14 years 9 months ago
Strategy-based interactive cluster visualization for information retrieval
Abstract. In this paper we investigate a general purpose interactive information organization system. The system organizes documents by placing them into 1-, 2-, or 3-dimensional s...
Anton Leuski, James Allan
ICIP
2007
IEEE
15 years 4 months ago
Using Dempster-Shafer Theory to Fuse Multiple Information Sources in Region-Based Segmentation
This paper presents a new method for segmentation of images into large regions that reflect the real world objects present in a scene. It explores the feasibility of utilizing sp...
Tomasz Adamek, Noel E. O'Connor
BMCBI
2006
134views more  BMCBI 2006»
14 years 9 months ago
An approach for clustering gene expression data with error information
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
Brian Tjaden