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» Methods for Binary Multidimensional Scaling
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NN
2006
Springer
104views Neural Networks» more  NN 2006»
13 years 7 months ago
Local multidimensional scaling
Several bioinformatics data sets are naturally represented as graphs, for instance gene regulation, metabolic pathways, and proteinprotein interactions. The graphs are often large ...
Jarkko Venna, Samuel Kaski
NN
2008
Springer
101views Neural Networks» more  NN 2008»
13 years 7 months ago
On multidimensional scaling and the embedding of self-organising maps
The self-organising map (SOM) and its variant, visualisation induced SOM (ViSOM), have been known to yield similar results to multidimensional scaling (MDS). However, the exact co...
Hujun Yin
AMDO
2006
Springer
13 years 11 months ago
Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling
We present a theoretical and computational framework for matching of two-dimensional articulated shapes. Assuming that articulations can be modeled as near-isometries, we show an a...
Alexander M. Bronstein, Michael M. Bronstein, Alfr...
CSDA
2006
97views more  CSDA 2006»
13 years 7 months ago
Fuzzy multidimensional scaling
Multidimensional scaling (MDS) is a data analysis technique for representing measurements of (dis)similarity among pairs of objects as distances between points in a low-dimensiona...
Pierre-Alexandre Hébert, Marie-Hél&e...
ACIVS
2009
Springer
14 years 3 days ago
A New Feasible Approach to Multi-dimensional Scale Saliency
In this paper, we present a multi-dimensional extension of an image feature extractor, the scale saliency algorithm by Kadir and Brady. In order to avoid the curse of dimensionalit...
Pablo Suau, Francisco Escolano