In this paper comparison of different data mining techniques used in financial data analysis is done. Financial data analysis is used in many financial institutes for accurate analysis of customer data to find defaulter and valid customer. In this paper we study about different data mining techniques and further we compare the accuracy of these algorithms by applying on different datasets to fi...

Company strategy expresses a basic idea of how to reach company objectives. A whole range of models of strategic management are used in practice. The concept of strategic management should fulfill some basic requirements to make it applicable for both the typical, but also more specific company environment. The financial strategy plays an important role in corporate strategy. The paper develops...

This paper aims to propose a new form of financial market regulation based on the visibility of the risk rate of financial products. The applicability of this framework is studied by exploiting a Mean Field Analysis model that allows to intuitively describe systems characterized by a large number of interacting objects. A qualitative result is illustrated in order to show how the visibility of ...

This article pursues two tasks. The first is to clarify the value and productivity of Williams’s Keywords: a vocabulary culture society (first edition 1976, second expanded 1983a) for project Cultural Studies. clarification helped, I argue, by reading it alongside Vološinov’s Marxism philosophy language (published in Russian 1929, translated into English 1973). related task speculative developm...

This paper presents a depth buffer hardware implementation of the multipath algorithm for radiosity. The implementation makes use of bundles of parallel lines implemented with the OpenGL's depth buffer. The new algorithm is compared with the earlier painter algorithm implementation and we conclude that the proposed technique can result in half a magnitude of speed increase, and can render the i...

Image haptization systems for 2D images and depth images with local deformation have been proposed, and from the experiments they have been proved effective in improvement of image contents perception and user interests. However, a comparison between the two kinds of systems has not been done. This paper compares the depth image haptization system with the 2D image haptization system based on a...

In this paper, we propose a new method to upsample a depth map for 3D video acquisition. The proposed method is based on Markov random fields. The low-resolution depth values are used for data term and the high-resolution color data are exploited for smoothness term. Especially, we apply semi-global energy minimization to reduce computational time. Experimental results show that the proposed me...

In this paper, we propose a new depth map upsampling method to increase the depth image resolution using edge information. Although the joint bilateral upsampling (JBU) method expands the resolution of the depth map using two weighting functions, the complexity of JBU is relatively high. In the proposed upsampling method, we reduce the complexity of depth map upsmapling operation using a color ...

This paper reports the development and application of a 2D depth-averaged model. The main goal of this contribution is to apply the depth averaged equations to a wind park model in which the treatment of the geometry, introduced on the mathematical model by the mass and momentum source terms. The depth-averaged model will be used in future to find the optimal position of wind turbines in the wi...

In this work, a novel approach is proposed to recognize some facial expressions from time-sequential depth videos. Local Directional Pattern (LDP) features are extracted from the time-sequential depth faces that are followed by Linear Discriminant Analysis (LDA) to make the features more robust. Finally, the robust local features are applied with Hidden Markov Models (HMMs) for facial expressio...