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ICML
2003
IEEE
14 years 8 months ago
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
Zhihua Zhang
ICRA
2007
IEEE
180views Robotics» more  ICRA 2007»
14 years 2 months ago
Mobile Sensor Networks Self Localization based on Multi-dimensional Scaling
— In this paper, we define a mobile self-localization (MSL) problem for sparse mobile sensor networks, and propose an algorithm named Mobility Assisted MDS-MAP(P), based on Mult...
Changhua Wu, Weihua Sheng, Ying Zhang
ICANN
2005
Springer
14 years 1 months ago
Multiresponse Sparse Regression with Application to Multidimensional Scaling
Sparse regression is the problem of selecting a parsimonious subset of all available regressors for an efficient prediction of a target variable. We consider a general setting in w...
Timo Similä, Jarkko Tikka
ESANN
2006
13 years 9 months ago
Visualizing gene interaction graphs with 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
CORR
2010
Springer
122views Education» more  CORR 2010»
13 years 8 months ago
A Unified Algorithmic Framework for Multi-Dimensional Scaling
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is mo...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...