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Spectral shape analysis

Spectral shape analysis relies on the spectrum (eigenvalues and/or eigenfunctions) of the Laplace–Beltrami operator to compare and analyze geometric… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
The use of Laplacian eigenfunctions is ubiquitous in a wide range of computer graphics and geometry processing applications. In… 
2016
2016
The aim of this paper was to show the usefulness of applying feature projection or metric learning techniques to multiscale… 
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2013
2013
In this paper, we consider the weighted graph matching problem. Recently, approaches to this problem based on spectral methods… 
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Highly Cited
2009
Highly Cited
2009
Feature-based methods have recently gained popularity in computer vision and pattern recognition communities, in applications… 
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2008
2008
Two miniature hyperspectral sensors are being considered to become part of a marine observatory system. The effect of stray-light… 
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2007
2007
The question “Can one hear the shape of a drum” has been asked in several contexts before (e.g., by Bers and Kac). It is a… 
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Highly Cited
2006
Highly Cited
2006
This paper introduces a method to extract 'Shape-DNA', a numerical fingerprint or signature, of any 2d or 3d manifold (surface or… 
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2006
2006
This paper describes the development of the objective method for the prediction of the Basic Audio Quality (BAQ) of bandlimited… 
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1999
1999
Title of thesis: GROUND VEHICLE ACOUSTIC SIGNAL PROCESSING BASED ON BIOLOGICAL HEARING MODELS: Degree candidate: Li Liu Degree… 
Highly Cited
1995
Highly Cited
1995
A model of spectral shape analysis in the central auditory system is developed based on neurophysiological mappings in the…