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ICASSP
2011
IEEE
12 years 9 months ago
Recovery of sparse perturbations in Least Squares problems
We show that the exact recovery of sparse perturbations on the coefficient matrix in overdetermined Least Squares problems is possible for a large class of perturbation structure...
Mert Pilanci, Orhan Arikan
SGAI
2005
Springer
13 years 11 months ago
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
Tom Howley, Michael G. Madden, Marie-Louise O'Conn...
BMCBI
2008
172views more  BMCBI 2008»
13 years 5 months ago
Classification of drug molecules considering their IC50 values using mixed-integer linear programming based hyper-boxes method
Background: A priori analysis of the activity of drugs on the target protein by computational approaches can be useful in narrowing down drug candidates for further experimental t...
Pelin Armutlu, Muhittin Emre Ozdemir, Fadime Ü...
TSP
2010
13 years 14 days ago
Recursive least squares dictionary learning algorithm
We present the Recursive Least Squares Dictionary Learning Algorithm, RLSDLA, which can be used for learning overcomplete dictionaries for sparse signal representation. Most Dicti...
Karl Skretting, Kjersti Engan
WCNC
2008
IEEE
14 years 4 days ago
An Improved Method for GPS-Based Network Position Location in Forests
—In this paper we present a technique for improving the location performance based on the Global Positioning System (GPS) for networks of nodes in harsh environments and demonstr...
Christopher L. Hutchens, Brian R. Sarbin, Alyse C....