The influence of randomerrors in turbulencemeasurements on scalar similarity for temperature, water vapour, CO2, and NH3 is investigated using two eddy-covariance datasets collected over a lake and a cattle feedlot. Three measures of scalar similarity, namely, the similarity constant in the flux–variance relationship, the correlation coefficient between two scalars and the relative transport ef...

We construct rogue waves (RWs) in a coupled two-mode system with the self-focusing nonlinearity of the Manakov type (equal SPM and XPM coefficients), spatially modulated coefficients, and a specially designed external potential. The system may be realized in nonlinear optics and Bose-Einstein condensates. By means of a similarity transformation, we establish a connection between solutions of th...

Previously we developed algorithm to obtain transmission reconstructions from emission data without transmission measurements. The optimal basis set of “knowledge set” was used to create an approximate attenuation map, and the expansion coefficients were estimated using optimization algorithm. Since a truncated expansion does not represent an image precisely, the estimated coefficients can be u...

Today, among the best-performing audio-based music similarity measures are algorithms based on Mel Frequency Cepstrum Coefficients (MFCCs). In these algorithms, each music track is modelled as a Gaussian Mixture Model (GMM) of MFCCs. The similarity between two tracks is computed by comparing their GMMs. One drawback of this approach is that the distance space obtained this way has some undesira...

We propose new audio features that can be extracted from bass lines. Most previous studies on content-based music information retrieval (MIR) used low-level features such as the mel-frequency cepstral coefficients and spectral centroid. Musical similarity based on these features works well to some extent but has a limit to capture fine musical characteristics. Because bass lines play important ...

An approach for molecular similarity/substructure searching based on structural hierarchy matching is proposed. In this approach, small molecules are divided into two categories, acyclic and cyclic forms. The latter are further divided into three structural hierarchies, namely, framework, complicated-, and mono-rings. During searching, the similarity coefficients of a structural query and each ...

In this paper, we will analyze the behavior of several parameters, namely type of contexts, similarity measures, and word space models, in the task of word similarity extraction from large corpora. The main objective of the paper will be to describe experiments comparing different extraction systems based on all possible combinations of these parameters. Special attention will be paid to the co...

Vulnerabilities in biometric systems including spoofing has emerged as an important issue. The focus of this work is on characterization of ‘perspiration pattern’ in a time-series of fingerprint images for liveness detection. By using information in the high pass bands of the images the similarity score for the two images is calculated to determine the uniqueness of the perspiration pattern. In...

When data is scarce or the alphabet is large, smoothing the probability estimates becomes inescapable when estimating n-gram models. In this paper we propose a method that implements a form of smoothing by exploiting similarity information of the alphabet elements. The idea is to view the log-conditional probability function as a smooth function defined over the similarity graph. The algorithm ...

Today, among the best-performing audio-based music similarity measures are algorithms based on Mel Frequency Cepstrum Coefficients (MFCCs). In these algorithms, each music track is modelled as a Gaussian Mixture Model (GMM) of MFCCs. The similarity between two tracks is computed by comparing their GMMs. One drawback of this approach is that the distance space obtained this way has some undesira...