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IPL
2006
80views more  IPL 2006»
15 years 14 days ago
BubbleSearch: A simple heuristic for improving priority-based greedy algorithms
We introduce BubbleSearch, a general approach for extending priority-based greedy heuristics. Following the framework recently developed by Borodin et al., we consider priority al...
Neal Lesh, Michael Mitzenmacher
105
Voted
MP
2006
137views more  MP 2006»
15 years 13 days ago
New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds
There are many applications related to singly linearly constrained quadratic programs subjected to upper and lower bounds. In this paper, a new algorithm based on secant approximat...
Yu-Hong Dai, Roger Fletcher
IGARSS
2009
14 years 10 months ago
Parallel Implementation of Endmember Extraction Algorithms using NVidia Graphical Processing Units
Spectral mixture analysis is an important task for remotely sensed hyperspectral data interpretation. In spectral unmixing, both the determination of spectrally pure signatures (e...
Antonio Plaza, Javier Plaza, Sergio Sánchez
IJACTAICIT
2010
189views more  IJACTAICIT 2010»
14 years 9 months ago
An Improved Algorithm for Data Hiding Using HH-subband Haar Wavelet Coefficients
This paper presents an improved adaptive algorithm for enhanced data hiding under HH-subband Haar Wavelet coefficients of a gray scale host image. The algorithm uses an optimal se...
Stuti Bazaj, Sachin Modi, Anand Mohan, S. P. Singh
ICASSP
2011
IEEE
14 years 4 months ago
A sliding-window online fast variational sparse Bayesian learning algorithm
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
Thomas Buchgraber, Dmitriy Shutin, H. Vincent Poor