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ICASSP
2011
IEEE
13 years 23 days ago
Efficient NLMS and RLS algorithms for a class of nonlinear filters using periodic input sequences
The paper discusses computationally efficient NLMS and RLS algorithms for a broad class of nonlinear filters using periodic input sequences. The class comprises all nonlinear ...
Alberto Carini, V. John Mathews, Giovanni L. Sicur...
ICASSP
2011
IEEE
13 years 23 days ago
Ambiguity functions of compressively sensed and processed radar waveforms
Compressive sensing and processing delivers high resolution data using reduced sampling rates and computational effort compared to Nyquist sensing and processing. Compressive proc...
Ioannis Kyriakides
INFOCOM
2012
IEEE
12 years 7 months ago
Expected loss bounds for authentication in constrained channels
We derive bounds on the expected loss for authentication protocols in channels which are constrained due to noisy conditions and communication costs. This is motivated by a numbe...
Christos Dimitrakakis, Aikaterini Mitrokotsa, Serg...
ECCV
2000
Springer
14 years 11 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
ICIP
2008
IEEE
14 years 10 months ago
A supervised nonlinear neighborhood embedding of color histogram for image indexing
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
Xian-Hua Han, Yen-Wei Chen, Takeshi Sukegawa