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SIAMJO
2010
100views more  SIAMJO 2010»
13 years 3 months ago
Explicit Sensor Network Localization using Semidefinite Representations and Facial Reductions
The sensor network localization, SNL , problem in embedding dimension r, consists of locating the positions of wireless sensors, given only the distances between sensors that are ...
Nathan Krislock, Henry Wolkowicz
IPCV
2008
13 years 10 months ago
Face Recognition using PCA and LDA with Singular Value Decomposition (SVD)
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Neeta Nain, Nitish Agarwal, Prashant Gour, Rakesh ...
INFORMATICASI
2007
89views more  INFORMATICASI 2007»
13 years 8 months ago
Approximate Representation of Textual Documents in the Concept Space
In this paper we deal with the problem of addition of new documents in collection when documents are represented in lower dimensional space by concept indexing. Concept indexing i...
Jasminka Dobsa, Bojana Dalbelo Basic
ICASSP
2011
IEEE
13 years 13 days ago
Trading off communications bandwidth with accuracy in adaptive diffusion networks
In this paper, a novel algorithm for bandwidth reduction in adaptive distributed learning is introduced. We deal with diffusion networks, in which the nodes cooperate with each ot...
Symeon Chouvardas, Konstantinos Slavakis, Sergios ...
ICIP
2006
IEEE
14 years 10 months ago
Wavelet Principal Component Analysis and its Application to Hyperspectral Images
We investigate reducing the dimensionality of image sets by using principal component analysis on wavelet coefficients to maximize edge energy in the reduced dimension images. Lar...
Maya R. Gupta, Nathaniel P. Jacobson