This article presents a computationally tractable probabilistic model for the relation between the complex wavelet coefficients of two images of the same scene. The two images are acquisitioned at distinct moments of times, or from distinct viewpoints, or by distinct sensors. By means of the introduced probabilistic model, we argue that the similarity between the two images is controlled not by...

Three coefficients of factor similarity were examined with regard to their behaviour within four sets of data. Two simple methods using Pearson r correlations and Tucker Congruence coefficients were compared with a more complex method given by Kaiser. Hunka and Bianchini (1971). Three of the data sets involved the use of 100 random data matrices, the fourth was that provided by the Eysencks’ wo...

In the image retrieval technology, the aim is to retrieve an image based on combined features of DCT color coefficients and shape descriptor. There were many algorithms based on single feature and combined features, presented in past. Those algorithms have lack of speed and require more computational capability. In this algorithm by combining two features of image, most similar images are retri...

We introduce an image retrieval method for searching an image database by using a query image that has similarity in its global and/or regional image contents to the intended target. Our retrieval method makes use of 2-dimensional wavelet decomposition (2-D WD) of the query and database images. The coefficients of 2-D WD are used as the multi-resolution image contents of the query and database ...

Panpan Zhang In this paper, I am going to introduce statistical self-similarity for discrete time series. My thesis is divided into three parts: In the first part, I will give a mathematical definition of self-similarity and detect the main properties of self-similar processes. At the end of this part, fractional Brownian motion(fBm) will be used as an example to check these properties. In the ...

This paper introduces a way of understanding correlation coefficients based on the notion of scaled-score similarity (i.e., closeness to identity). It is suggested that the proposed framework has intuitive al)peal. It points to the equivalence among various correlation coefficients by showing that correlation problems involve the notion of agreement between interval or ordinal measures expresse...

In this paper, non-similarity boundary-layer flow of a Newtonian fluid near an asymmetric plane stagnation point with a dimensionless external flow velocity ue = x/(x + 1) is studied. The original boundary-layer equations are transferred into a nonlinear partial differential equation (PDE) with variable coefficients. An analytic technique for strongly nonlinear equations, namely the homotopy an...

A method for the estimation of music similarity based on the use of the standardized variogram as clustering algorithm for Mel Frequency Cepstral Coefficients, is detailed in this report. The standardized variogram is used for the compression of the information of MFCCs. The algorithm is submitted to the Audio Music Similarity task of MIREX 2011, in occasion of the 12th ISMIR Conference.

Micropropagated plantlets derived from three different grape rootstock genotypes namely, Dogridge (Vitis champini), SO4 (V. berlandieri×V. rupestris) and ARI-H-144 (V. vinifera×V. labrusca) were subjected to randomly amplified polymorphic DNA (RAPD) and inter simple sequence repeats (ISSR) analyses in order to evaluate their genetic stability and/or detect likely existing variations among in vi...

This study deals with the three-dimensional flow of a chemically reacting magnetohydrodynamic Sisko fluid over a bidirectional stretching surface filled with the ferrous nanoparticles in the presence of non-uniform heat source/sink, nonlinear thermal radiation, and suction/injection. After applying the self-suitable similarity transforms, the nonlinear ordinary differential equations are solved...