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» Learning the 2-D Topology of Images
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NIPS
2007
13 years 6 months ago
Learning the 2-D Topology of Images
Nicolas Le Roux, Yoshua Bengio, Pascal Lamblin, Ma...
MICCAI
2007
Springer
13 years 11 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
ACCV
1998
Springer
13 years 9 months ago
Learning Multiscale Image Models of 2D Object Classes
This paper isconcerned with learning the canonical gray scalestructure of the images of a classof objects. Structure is defined in terms of the geometry and layout of salientimage...
Benoit Perrin, Narendra Ahuja, Narayan Srinivasa
GBRPR
2007
Springer
13 years 11 months ago
A New Contour Filling Algorithm Based on 2D Topological Map
Abstract. In this paper, we present a topological algorithm which allows to ll contours images. The lling problem has been widely treated and it recently appeared that it can alw...
Guillaume Damiand, Denis Arrivault
CG
2006
Springer
13 years 5 months ago
Connectivity preserving digitization of blurred binary images in 2D and 3D
Connectivity and neighborhood are fundamental topological properties of objects in pictures. Since the input for any image analysis algorithm is a digital image, which does not ne...
Peer Stelldinger, Ullrich Köthe