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» Shape Estimation from Support and Diameter Functions
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SCIA
2007
Springer
134views Image Analysis» more  SCIA 2007»
14 years 1 months ago
Estimation of Non-Cartesian Local Structure Tensor Fields
Abstract. In medical imaging, signals acquired in non-Cartesian coordinate systems are common. For instance, CT and MRI often produce significantly higher resolution within scan p...
Björn Svensson, Anders Brun, Mats T. Andersso...
DAGSTUHL
1994
13 years 8 months ago
Function-Based Object Recognition
Functionality-based recognition systems recognize objects at the category level by reasoning about how well the objects support the expected function. Such systems naturally assoc...
Louise Stark, Kevin W. Bowyer
TIP
2008
175views more  TIP 2008»
13 years 7 months ago
Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
Baofeng Guo, Steve R. Gunn, Robert I. Damper, Jame...
MICCAI
2005
Springer
14 years 8 months ago
Support Vector Clustering for Brain Activation Detection
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann H...
ACCV
2009
Springer
14 years 2 months ago
Dense and Accurate Spatio-temporal Multi-view Stereovision
In this paper, we propose a novel method to simultaneously and accurately estimate the 3D shape and 3D motion of a dynamic scene from multiple-viewpoint calibrated videos. We follo...
Jérôme Courchay, Jean-Philippe Pons, ...