BACKGROUND AND PURPOSE Relative cerebral blood volume (rCBV) estimates for high-grade gliomas computed with dynamic susceptibility contrast MR imaging are artificially lowered by contrast extravasation through a disrupted blood-brain barrier. We hypothesized that rCBV corrected for agent leakage would correlate significantly with histopathologic tumor grade, whereas uncorrected rCBV would not. ...

In this paper, we considered a planar perspective transformation between images with overlapping region. It is based on the rectangle-to-quadrilateral mapping and normalized correlations. Initially, the global translation is determined by using a block matching. And to find the correspondence points maximizing correlation in overlapping region by the perspective transformation, we used simulate...

Results on two–particle angular correlations in jet cones and on multiplicity fluctuations in oneand twodimensional angular intervals, delivered by three experiments (DELPHI, L3 and ZEUS, at √ s from few to 183 GeV) are compared to present existing analytical QCD calculations, using the LPHD hypothesis. Two different types of functions have been tested. While the differentially normalized corre...

it to currently accepted delay estimators implementing a variety of sub-sample interpolation methods. Simulation results show that this algorithm significantly outperforms other algorithms in terms of jitter and bias over a broad range of conditions. For a 5 MHz, 50% bandwidth signal sampled at 40 MHz with a sub-sample delay of 0.3 samples, the bias of the proposed method is over 300 times smal...

© 2011 Byung Cheol Song 401 This paper presents a fast block-matching algorithm based on the normalized cross-correlation, where the elimination order is determined based on the gradient magnitudes of subblocks in the current macroblock. Multilevel Cauchy-Schwartz inequality is derived to skip unnecessary block-matching calculations in the proposed algorithm. Also, additional complexity reducti...

For time series comparisons, it has often been observed that z-score normalized Euclidean distances far outperform the unnormalized variant. In this paper we show that a z-score normalized, squared Euclidean Distance is, in fact, equal to a distance based on Pearson Correlation. This has profound impact on many distance-based classification or clustering methods. In addition to this theoretical...

it to currently accepted delay estimators implementing a variety of sub-sample interpolation methods. Simulation results show that this algorithm significantly outperforms other algorithms in terms of jitter and bias over a broad range of conditions. For a 5 MHz, 50% bandwidth signal sampled at 40 MHz with a sub-sample delay of 0.3 samples, the bias of the proposed method is over 300 times smal...

In this paper, we consider the randommatrix ensemble given by (db, dw)-regular graphs onM black vertices andN white vertices, where db ∈ [N γ , N2/3−γ ] for any γ > 0. We simultaneously prove that the bulk eigenvalue correlation statistics for both normalized adjacency matrices and their corresponding covariance matrices are stable for short times. Combined with an ergodicity analysis of the Dy...

A high-speed processor for the recognition and location of object features is presented. The svstem is equipped with a powerful coprocessor to compute the normalized cross-correlation. An application in industry demonstrates the systems benefits. Flexible systems for industrial automation dema~d sophisticated techniques for visual observation of the scene. Completeness checks, alignment and gau...

abstract to evaluated oryza2000 model in iran, this study was carried out during 2004 till 2007 at rice research institute of iran, rasht. the experiment was conducted as split plot in complete randomized block design and three replicates. three irrigation levels were the main plots and four levels of n application were allocated sup-plots model. simulated and measured values leaf area index (l...