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ICASSP
2011
IEEE
14 years 6 months 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
14 years 6 months 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
258
Voted
INFOCOM
2012
IEEE
14 years 15 days 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
16 years 4 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
16 years 4 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