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» Adaptive Hausdorff Estimation of Density Level Sets
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MICCAI
2009
Springer
14 years 8 months ago
Dynamic Cone Beam Reconstruction Using a New Level Set Formulation
Abstract. This paper addresses an approach toward tomographic reconstruction from rotational angiography data as it is generated by Carms in cardiac imaging. Since the rotational a...
Andreas Keil, Jakob Vogel, Günter Lauritsch, ...
ESANN
2007
13 years 9 months ago
One-class SVM regularization path and comparison with alpha seeding
One-class support vector machines (1-SVMs) estimate the level set of the underlying density observed data. Aside the kernel selection issue, one difficulty concerns the choice of t...
Alain Rakotomamonjy, Manuel Davy
EMMCVPR
1999
Springer
13 years 12 months ago
Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
José M. B. Dias
ACIVS
2007
Springer
13 years 11 months ago
Joint Domain-Range Modeling of Dynamic Scenes with Adaptive Kernel Bandwidth
Abstract. The first step in various computer vision applications is a detection of moving objects. The prevalent pixel-wise models regard image pixels as independent random process...
Borislav Antic, Vladimir S. Crnojevic
ICPR
2010
IEEE
13 years 5 months ago
Low-Level Image Segmentation Based Scene Classification
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
Emre Akbas, Narendra Ahuja