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Supervised change detection in VHR images using contextual information and support vector machines

Related publications (46)

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CLEF2008 Image Annotation Task: an SVM Confidence-Based Approach

Barbara Caputo, Tatiana Tommasi

This paper presents the algorithms and results of our participation to the medi- cal image annotation task of ImageCLEFmed 2008. Our previous experience in the same task in 2007 suggests that combining multiple cues with diﬀerent SVM-based approaches is ve ...

Idiap2008

Fast Adaptive Elliptical Filtering Using Box Splines

Michaël Unser, Kunal Narayan Chaudhury

We demonstrate that it is possible to filter an image with an elliptic window of varying size, elongation and orientation with a fixed computational cost per pixel. Our method involves the application of a suitable global pre-integrator followed by a point ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Fast Adaptive Elliptical Filtering Using Box Splines

Michaël Unser, Kunal Narayan Chaudhury

IEEE2008

Fast Adaptive Elliptical Filtering Using Box Splines

Michaël Unser, Kunal Narayan Chaudhury

We demonstrate that it is possible to filter all image with an elliptic window of varying size, elongation and orientation with a fixed computational cost per pixel. Our method involves the application of a suitable global pre-integrator followed by a poin ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Efficient image duplicate detection based on image analysis

Yannick Maret

This thesis is about the detection of duplicated images. More precisely, the developed system is able to discriminate possibly modified copies of original images from other unrelated images. The proposed method is referred to as content-based since it reli ...

EPFL2007

Automatic Analysis of microRNA Microarray Images Using Mathematical Morphology

Michel Kocher

The micro array are an experimental technique for parallel determination of molecular concentration. The image analysis is an important, time consuming and error prone step of the process. We describe here an automatic procedure able to analyze the micro a ...

IEEE2007

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

Pedro Manuel Da Silva Quelhas

The ever increasing number of digital images in both public and private collections urges on the need for generic image content analysis systems. These systems need to be capable to capture the content of images from both scenes and objects, in a compact w ...

École Polytechnique Fédérale de Lausanne2007

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

Pedro Manuel Da Silva Quelhas

EPFL2007

CLEF2007 Image Annotation Task: an SVM-based Cue Integration Approach

Barbara Caputo, Tatiana Tommasi

This paper presents the algorithms and results of our participation to the medical image annotation task of ImageCLEFmed 2007. We proposed, as a general strategy, a multi-cue approach where images are represented both by global and local descrip- tors, so ...

2007

Prior Knowledge in Kernel Methods

Alexei Pozdnoukhov

Machine Learning is a modern and actively developing field of computer science, devoted to extracting and estimating dependencies from empirical data. It combines such fields as statistics, optimization theory and artificial intelligence. In practical task ...

École Polytechnique Fédérale de Lausanne2006