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133
Voted
VVS
1996
IEEE
98views Visualization» more  VVS 1996»
15 years 8 months ago
Classification and Local Error Estimation of Interpolation and Derivative Filters for Volume Rendering
We describe a new method for analyzing, classifying, and evaluating filters, which can be applied to interpolation filters, and derivative filters. Our analysis is based on the Ta...
Torsten Möller, Raghu Machiraju, Klaus Muelle...
DAGM
2006
Springer
15 years 7 months ago
Sparse Patch-Histograms for Object Classification in Cluttered Images
Abstract. We present a novel model for object recognition and detection that follows the widely adopted assumption that objects in images can be represented as a set of loosely cou...
Thomas Deselaers, Andre Hegerath, Daniel Keysers, ...
160
Voted
3DIM
2003
IEEE
15 years 7 months ago
Surflet-Pair-Relation Histograms: A Statistical 3D-Shape Representation for Rapid Classification
A statistical representation of three-dimensional shapes is introduced, based on a novel four-dimensional feature. The feature parameterizes the intrinsic geometrical relation of ...
Eric Wahl, Ulrich Hillenbrand, Gerd Hirzinger
AIA
2007
15 years 5 months ago
Classification of biomedical high-resolution micro-CT images for direct volume rendering
This paper introduces a machine learning approach into the process of direct volume rendering of biomedical highresolution 3D images. More concretely, it proposes a learning pipel...
Maite López-Sánchez, Jesús Ce...
145
Voted
CEC
2010
IEEE
15 years 4 months ago
Improving GP classification performance by injection of decision trees
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Rikard König, Ulf Johansson, Tuve Löfstr...