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Kernel Least Mean Square Features For HMM-Based Signal Recognition
Year: 2010
Abstract:
Abstract— In this paper, an attempt is made to propose a
new feature extraction method that is capable of capturing
nonlinearities in signals. For this purpose, Kernel Least Mean
Square KLMS (KLMS) ...
Background Estimation In Kernel Space
Year: 2011
Abstract:
One problem in background estimation is the inherent change in the background such as waving
tree branches, water surfaces, camera shakes, and the existence of moving objects in every
image. In this paper, a ...
A Novel Approach in Video Scene Background Estimation
Year: 2010
Abstract:
Abstract—This paper presents a novel method for
background estimation in a video sequence from the function
estimation point of view. The proposed algorithm, called
Kernel-based Background Learning ...