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» Minimization of Error Functionals over Perceptron Networks
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ICASSP
2011
IEEE
14 years 1 months ago
Gaussian mixture modeling for source localization
Exploiting prior knowledge, we use Bayesian estimation to localize a source heard by a fixed sensor network. The method has two main aspects: Firstly, the probability density fun...
John T. Flåm, Joakim Jalden, Saikat Chatterj...
SPAA
2005
ACM
15 years 3 months ago
Admission control to minimize rejections and online set cover with repetitions
We study the admission control problem in general networks. Communication requests arrive over time, and the online algorithm accepts or rejects each request while maintaining the...
Noga Alon, Yossi Azar, Shai Gutner
JIB
2006
220views more  JIB 2006»
14 years 9 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
GLOBECOM
2007
IEEE
15 years 4 months ago
Robust Chebyshev FIR Equalization
Abstract—In Chebyshev finite-impulse response (FIR) equalization, we design an FIR filter that minimizes the Chebyshev equalization error, i.e., the maximum absolute deviation ...
Almir Mutapcic, Seung-Jean Kim, Stephen P. Boyd
AC
2003
Springer
15 years 1 months ago
Influence of Location over Several Classifiers in 2D and 3D Face Verification
In this paper two methods for human face recognition and the influence of location mistakes are shown. First one, Principal Components Analysis (PCA), has been one of the most appl...
Susana Mata, Cristina Conde, Araceli Sánche...