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KDD
2002
ACM
194views Data Mining» more  KDD 2002»
14 years 10 months ago
Scale Space Exploration For Mining Image Information Content
Images are highly complex multidimensional signals, with rich and complicated information content. For this reason they are difficult to analyze through a unique automated approach...
Mariana Ciucu, Patrick Héas, Mihai Datcu, J...
TIP
2002
134views more  TIP 2002»
13 years 9 months ago
Curvature of n-dimensional space curves in grey-value images
Local curvature represents an important shape parameter of space curves which are well described by differential geometry. We have developed an estimator for local curvature of spa...
Bernd Rieger, Lucas J. van Vliet
IPMI
2009
Springer
14 years 10 months ago
Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images
Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1]. To accurately...
Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu
MM
2003
ACM
132views Multimedia» more  MM 2003»
14 years 3 months ago
On image auto-annotation with latent space models
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
Florent Monay, Daniel Gatica-Perez
MICCAI
2009
Springer
14 years 11 months ago
Evaluation of q-Space Sampling Strategies for the Diffusion Magnetic Resonance Imaging
We address the problem of efficient sampling of the diffusion space for the Diffusion Magnetic Resonance Imaging (dMRI) modality. While recent scanner improvements enable the acqui...
Haz-Edine Assemlal, David Tschumperlé, Luc ...