(frequency) domain filtering can be used for this purpose. There is one to one correspondence between linear spatial filters and filters in the frequency domain. However, spatial filters offer considerably more versatility because they can also be used for non linear filtering, something we cannot do in the frequency domain. Recently wavelet transform is also being used to remove the impulse noise from noisy images. Historically, in early days filters were used uniformly on the entire image without discriminating
Probabilistic Approach In addition to univariate analysis and discriminant analysis, researchers also tried to explore probabilistic prediction of corporate bankruptcy. Zavgren (1985) opined that the models which generate a probability of failure are more useful than those that produce a dichotomous classification as with multiple discriminant analysis. Option to Default Methodology Merton (1974) applied the option pricing method developed by Black and Scholes (1973) to the valuation of a leveraged
How the classifier was trained is immaterial in this problem. It is also worth noting that this problem is completely different from cross validation or any such method employed to measure the goodness of classifier during training phase. Once again the classifier training process is of no relevance for us, our goal is to accurately estimate the accuracy of a given trained classifier on a test set with as little
incorporating the renewable natural resources of energy in the existing power system while satisfying all operational constraints. It is a highly constrained multi-objective optimization issue including contradictory objectives with probabilistic and non-probabilistic correspondence and non-fairness constraints to oblige the uncertainties of renewable Energy Resources. In this paper a hybrid multi-objective Backtracking search with sequential quadratic programming optimization algorithm is proposed. The stochastic
interested in learning more about what you recommend for plant productivity analysis. Specifically, the board members want you to identify and describe the tools and techniques that are available that will help the plant's executive team better conduct statistical analyses for plant productivity evaluation. Be sure to define the management information systems in-place that will provide the productivity data required. What quantitative research techniques/statistics would you recommend for ABC Complete Kitchens
feature selection; and the final stage, in which a support vector machine (SVM) with Polynomial kernel is used for final classification. In comparison with other methods, the proposed SpliceCombo model outperforms other prediction models as the prediction accuracies are 97.25% sensitivity, 97.46% Specificity for donor splice site and 96.51% Sensitivity, 94.48% Specificity for acceptor splice site prediction. Keywords:
of anomaly detection based on non-parametric techniques and will assess different existing techniques and introduce a novel methodology for anomaly detection using dynamic evolving subsequence clustering. INTRODUCTION Time series is a very important factor in business today. Organizations always depend on forecasting methods for their management decisions. The methodology itself depends on the availably of the required data and accordingly a judgmental or statistical approach is chosen. Almost every
ABSTRACT Nowadays social networking sites play a major role in providing information to public. This paper discusses the social networking site twitter. Twitter as a social networking site can be used as a source of information for event detection with reference to traffic congestion and road accidents. In this paper we consider a real time monitoring system for the detection of traffic in metropolitan cities. For this approach, the system fetches information from the status update messages of twitter
3.2 Research Methods “Quantitative and Qualitative” were the two principal approaches in psychological research currently (Bavelas, 1998). Quantitative research is concerned with applying statistical approaches to test hypotheses. Statistical methods are to consider as the analysis of data, it normally concerned with “probabilistic model” as a background. (Sibson, 1999), the prominent characteristic of probabilistic model is as the analysis of data was collected, which is considered about “mean,
Over the past several decades, the frequency of disasters and their impacts on communities have increased initiating enhancement need for more efficient safety measures, disaster risk reduction and adequate management plans. Therefore, building disaster resilient infrastructure systems and making resilient cities with a reduced probability of failure, economic and social consequences and a recovery time, represents the challenge (Bruneau, Chang et al. 2003, Godschalk 2003). Further, safety problem