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» Classifier Selection Based on Data Complexity Measures
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DAGM
2010
Springer
14 years 10 months ago
Complex Motion Models for Simple Optical Flow Estimation
The selection of an optical flow method is mostly a choice from among accuracy, efficiency and ease of implementation. While variational approaches tend to be more accurate than lo...
Claudia Nieuwenhuis, Daniel Kondermann, Christoph ...
PR
2007
116views more  PR 2007»
14 years 9 months ago
GAPS: A clustering method using a new point symmetry-based distance measure
In this paper, an evolutionary clustering technique is described that uses a new point symmetry-based distance measure. The algorithm is therefore able to detect both convex and n...
Sanghamitra Bandyopadhyay, Sriparna Saha
DGCI
2008
Springer
14 years 11 months ago
Selection of Local Thresholds for Tomogram Segmentation by Projection Distance Minimization
Abstract. Segmentation is an important step to obtain quantitative information from tomographic data sets. To this end, global thresholding is often used in practice. However, it i...
Kees Joost Batenburg, Jan Sijbers
EUROCAST
2003
Springer
134views Hardware» more  EUROCAST 2003»
15 years 3 months ago
Volumetric Texture Description and Discriminant Feature Selection for MRI
This paper considers the problem of texture description and feature selection for the classification of tissues in 3D Magnetic Resonance data. Joint statistical measures like grey...
Abhir Bhalerao, Constantino Carlos Reyes-Aldasoro
VIS
2007
IEEE
123views Visualization» more  VIS 2007»
15 years 11 months ago
Multifield Visualization Using Local Statistical Complexity
Modern unsteady (multi-)field visualizations require an effective reduction of the data to be displayed. From a huge amount of information the most informative parts have to be ext...
Heike Jänicke, Alexander Wiebel, Gerik Scheuerm...