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104
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ICPR
2008
IEEE
15 years 8 months ago
A probabilistic model for classifying segmented images
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...
Liang Wu, Predrag Neskovic, Leon N. Cooper
ECCV
1998
Springer
16 years 3 months ago
Perceptual Smoothing and Segmentation of Colour Textures
An approach for perceptual segmentation of colour image textures is described. A multiscale representation of the texture image, generated by a multiband smoothing algorithm based ...
Maria Petrou, Majid Mirmehdi, M. Coors
126
Voted
NIPS
2008
15 years 3 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
121
Voted
DAGM
2007
Springer
15 years 5 months ago
Efficient Image Segmentation Using Pairwise Pixel Similarities
Image segmentation based on pairwise pixel similarities has been a very active field of research in recent years. The drawbacks common to these segmentation methods are the enormou...
Christopher Rohkohl, Karin Engel
CVPR
2008
IEEE
16 years 3 months ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen