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» Boosting in the presence of noise
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ICPR
2010
IEEE
13 years 8 months ago
Cross Entropy Optimization of the Random Set Framework for Multiple Instance Learning
Abstract--Multiple instance learning (MIL) is a recently researched technique used for learning a target concept in the presence of noise. Previously, a random set framework for mu...
Jeremy Bolton, Paul D. Gader
ICPR
2010
IEEE
13 years 8 months ago
A Novel Approach to Detect Ship-Radiated Signal Based on HMT
In the presence of non-gaussian noise, we propose a method for the detection of underwater shipradiated signal. The wavelet decomposition of the underwater signal yields a natural...
Yue Zhou, Zhibin Niu, Chenghao Wang
INFORMATICALT
2010
102views more  INFORMATICALT 2010»
13 years 7 months ago
Closed-Loop System Identification with Modifications of the Instrumental Variable Method
Least-squares method is the most popular method for parameter estimation. It is easy applicable, but it has considerable drawback. Under well-known conditions in the presence of no...
Nasko Atanasov, Alexander Ichtev
SCL
2011
13 years 4 months ago
Analysis of consensus protocols with bounded measurement errors
This paper analyzes two classes of consensus algorithms in presence of bounded measurement errors. The considered protocols adopt an updating rule based either on constant or vani...
Andrea Garulli, Antonio Giannitrapani
TNN
2011
137views more  TNN 2011»
13 years 4 months ago
Learning Pattern Recognition Through Quasi-Synchronization of Phase Oscillators
—The idea that synchronized oscillations are important in cognitive tasks is receiving significant attention. In this view, single neurons are no longer elementary computational...
Ekaterina Vassilieva, Guillaume Pinto, J. Acacio d...