In a practical training for the Faculty of Electrical Engineering at Eindhoven University of Technology, a literature search to the past developments concerning the Phase Correlation algorithm was carried out and the algorithm was implemented. The Phase Correlation algorithm is a method for measuring the motion in a video sequence, based on the Fourier shift theorem. It was found that an enhanc...

A new type of continuous hybrid tool wear estimator is proposed in this paper. It is structured in the form of two modules for classification and estimation. The classification module is designed by using an analytic fuzzy logic concept without a rule base. Thereby, it is possible to utilize fuzzy logic decision-making without any constraints in the number of tool wear features in order to enha...

In this paper we present the Relational Bayesian Classifier (RBC), a modification of the Simple Bayesian Classifier (SBC) for relational data. There exist several Bayesian classifiers that learn predictive models of relational data, but each uses a different estimation technique for modeling heterogeneous sets of attribute values. The effects of data characteristics on estimation have not been ...

This paper compares several methods of analogy-based effort estimation, including the use of adaptation rules as a contributing factor to better estimation accuracy. Two data sets are used in the analysis. Results show that best predictions were obtained for the dataset that presented a continuous “cost” function and was more “unspoiled”.

Are we justified in inferring a general rule from observations that frequently confirm it? This is the usual statement of the problem of induction. The present paper argues that this question is relevant for the understanding of Machine Learning, but insufficient. Research in Machine Learning has prompted another, more fundamental question: the number of possible rules grows exponentially wi th...

Motivation: Faces form a class of visually similar objects that simplifies the generally difficult task of object detection. However, the problem of pose invariance is still unsolved. There are three basic ideas behind partor component-based detection of objects. First, some objects classes can be described well by a few characteristic object parts and their geometrical relation. Second, the pa...

0164-1212/$ see front matter 2008 Elsevier Inc. A doi:10.1016/j.jss.2008.06.001 * Corresponding author. Tel.: +65 83442816. E-mail address: [email protected] (Y.F. Li). A number of software cost estimation methods have been presented in literature over the past decades. Analogy based estimation (ABE), which is essentially a case based reasoning (CBR) approach, is one of the most popular techni...

Unknown dose regimes are typically assessed on animals prior to clinical trials. Recent advances in the evaluation of new leads’ efficacy have been achieved by pharmacokinetic modeling. Further improvements, including determination of the drug’s mechanism of action and organism biodistribution, require an effective methodology for solving parameter estimation challenges. This article solves the...

Multiview image sequence processing has been the focus of considerable attention in recent literature. This paper presents an efficient technique for object-based rigid and non-rigid 3D motion estimation, applicable to problems occurring in multiview image sequence coding applications. More specifically, a neural network is formed for the estimation of the rigid 3D motion of each object in the ...