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» Novel iteration schemes for the Cluster Variation Method
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EMMCVPR
2005
Springer
15 years 3 months ago
Spatio-temporal Prior Shape Constraint for Level Set Segmentation
Abstract. This paper exposes a novel formulation of prior shape constraint incorporation for the level set segmentation of objects from corrupted images. Applicable to variational ...
Timothée Bailloeul, Véronique Prinet...
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
14 years 11 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
ISBI
2004
IEEE
15 years 11 months ago
Clustering On Image Boundary Regions for Deformable Model Segmentation
We present a novel approach, clustering on local image profiles, for statistically characterizing image intensity in object boundary regions. In deformable model segmentation, a d...
Joshua Stough, Stephen M. Pizer, Edward L. Chaney,...
78
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ILP
2005
Springer
15 years 3 months ago
Spatial Clustering of Structured Objects
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a site (e.g. areal units) descriptive of one or more (spatial) primary units, possib...
Donato Malerba, Annalisa Appice, Antonio Varlaro, ...
ICPR
2004
IEEE
15 years 11 months ago
An Energy Minimisation Approach to Stereo-Temporal Dense Reconstruction
We propose a novel energy minimisation framework for the dense reconstruction of stereo image sequences that incorporates data fidelity as well as spatial and temporal regularity....
Ben Appleton, Brian C. Lovell, Carlos Leung, Chang...