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IJPRAI
2002
97views more  IJPRAI 2002»
13 years 6 months ago
Shape Description and Invariant Recognition Employing Connectionist Approach
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
Jezekiel Ben-Arie, Zhiqian Wang
CAIP
1997
Springer
125views Image Analysis» more  CAIP 1997»
13 years 10 months ago
An Algorithm for Intrinsic Dimensionality Estimation
Abstract. In this paper a new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is...
Jörg Bruske, Gerald Sommer
MICCAI
2004
Springer
14 years 8 months ago
Learning Coupled Prior Shape and Appearance Models for Segmentation
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
Xiaolei Huang, Zhiguo Li, Dimitris N. Metaxas
CLA
2007
13 years 8 months ago
Representing Numeric Values in Concept Lattices
Formal Concept Analysis is based on the occurrence of symbolic attributes in individual objects, or observations. But, when the attribute is numeric, treatment has been awkward. In...
John L. Pfaltz
ACCV
2009
Springer
14 years 1 months ago
From Ramp Discontinuities to Segmentation Tree
Abstract. This paper presents a new algorithm for low-level multiscale segmentation of images. The algorithm is designed to detect image regions regardless of their shapes, sizes, ...
Emre Akbas, Narendra Ahuja