l1-regularized logistic regression, also known as sparse logistic regression, is widely used in machine learning, computer vision, data mining, bioinformatics and neural signal processing. The use of l1 regularization attributes attractive properties to the classifier, such as feature selection, robustness to noise, and as a result, classifier generality in the context of supervised learning. W...

Despite providing robustness, high-gain observers impose a peaking phenomenon, which may cause instability, on the system states. In this paper, an adaptive saturation is proposed to attenuate the undesirable mentioned phenomenon in high-gain observers. A real-valued and differentiable sigmoid function is considered as the saturating element whose parameters (height and slope) are adaptively tu...

We shall derive and propose several efficient overlapping domain decomposition methods for solving some typical linear inverse problems, including the identification of the flux, the source strength and the initial temperature in second order elliptic and parabolic systems. The methods are iterative, and computationally very efficient: only local forward and adjoint problems need to be solved i...

Inference tasks in computational semantics have mostly been tackled by means of first-order theorem proving tools. While this is an important and welcome development, it has some inherent limitations. First, generating first-order logic representations of natural language documents is hampered by the lack of efficient and sufficiently robust NLP tools. Second, the computational costs of deployi...

Foreground detection is a key procedure in video analysis such as object detection and tracking. Several foreground detection techniques and edge detectors have been developed until now but the problem is, usually it is difficult to obtain an optimal foreground due to weather, light, shadow and clutter interference. Background subtract is a common method in foreground detection. In background s...

in areas protected by the current rules are that it can be a special legal regime of the named areas, but these rules apply and a special legal regime to prevent law enforcement will be more general, but it also confirms the fact that the general rules in the areas of special rules that only apply in these areas is about legal regime make up. state eligibility rules related to the epa, hunting ...