In face recognition feature extraction and classification are the two aspects to be focused. In principle component analysis (PCA) based face recognition technique, the 2D face image matrices must be previously transformed in to one dimensional image vectors. In this paper two dimensional principle component analysis(2DPCA) is used to extract the features. Comparing to conventional principle co...

This paper investigates the efficiency of one-component pricing mechanisms versus twocomponent pricing mechanisms. The paper deals with four pricing mechanisms used in the Internet, namely, flat rate pricing, usage-based pricing, transaction-based pricing and version-based pricing for the analysis. The objective of the paper is to evaluate and analyse the ways in which the usage-based pricing m...

A simple linear mixing model of heterogeneous soil-vegetation system and retrieval of component temperatures from directional remote sensing measurements by inverting this model is evaluated in this paper using observations by a thermal camera. The thermal camera was used to obtain multi-angular TIR (Thermal Infra-Red) images over vegetable and orchard canopies. A whole thermal camera image was...

The paper proposes a general framework to composite Web services selection based on multicriteria evaluation. The proposed framework extends the Web services architecture by adding, in the registry, a new Multicriteria Evaluation Component (MEC) devoted to multicriteria evaluation. This additional component takes as input a set of composite Web services and a set of evaluation criteria and gene...

A program's infrastructure is often cited as critical to public health success. The Component Model of Infrastructure (CMI) identifies evaluation as essential under the core component of engaged data. An evaluation plan is a written document that describes how to monitor and evaluate a program, as well as how to use evaluation results for program improvement and decision making. The evaluation ...

This paper describes an approach for image segmentation that relies on learning from experience to adapt and improve the segmentation performance. The adaptive image segmentation system incorporates a feedback loop consisting of a machine learning subsystem, an image segmentation algorithm, and an evaluation component which determines segmentation quality. The machine learning component is base...

A variation of multiple L-values, which arises from the description of the special values of the spectral zeta function of the non-commutative harmonic oscillator, is introduced. In some special cases, we show that its generating function can be written in terms of the gamma functions. This result enables us to obtain explicit evaluations of them.