Background noise can have a significant impact on the performance of speech recognition systems. A range of fast featurespace and model-based schemes have been investigated to increase robustness. Model-based approaches typically achieve lower error rates, but at an increased computational load compared to feature-based approaches. Thismakes their use inmany situations impractical. The uncertai...

Many iterative localization schemes suffer from the negative effect of error propagation, where sensor noise results in estimation errors which then get accumulated and amplified over localization iterations. This paper extends our earlier work in mobile-infrastructure based localization and proposes a computationally efficient error control mechanism to mitigate the error propagation effect. I...

We study the problem of uncertainty in the entries of the Kernel matrix, arising in SVM formulation. Using Chance Constraint Programming and a novel large deviation inequality we derive a formulation which is robust to such noise. The resulting formulation applies when the noise is Gaussian, or has finite support. The formulation in general is non-convex, but in several cases of interest it red...

Radiometric values on digital imagery are affected by several sources of uncertainty. A practical, comprehensive and flexible procedure to analyze the radiometric values and the uncertainty effects due to the camera sensor system is described in this paper. The procedure is performed on the grey level output signal using image raw units with digital numbers ranging from 0 to 2(12)-1. The proced...

This paper extends the concept of probabilistic completeness defined for the motion planners in the absence of noise, to the concept of “probabilistic completeness under uncertainty” for the motion planners that perform planning in the presence of uncertainty. According to the proposed definition, an approach is proposed to verify the probabilistic completeness under uncertainty. Finally, it is...

this paper tries to determine efficiency of noise control method using fuzzy logic and based on collected data. from among various methods of noise control in workplace, sex methods (enclosure, installing noise absorber, enclosure and absorber, active, and administrative control, and personal protective equipment) were typically selected based on experts' judgment. for each of selected control ...

This is the second in a series of three papers describing a method of allocating the uncertainty in the Position Error Signal (PES) of a magnetic disk drive servo system among its constitutive components (“noises”). Once identified and ranked, the most critical noises can be attacked first, either by finding ways of reducing them or by altering system components to be less sensitive to them. Th...

Seismic impedance inversion is an important method to identify the spatial characteristics of underground rock physical properties. results and uncertainty evaluation are scientific basis for risk decision-making in oil gas development. Under assumption that error observed seismic data meet Gaussian distribution or log–Gaussian distribution, Bayesian linear can analytically obtain posterior pro...