Feature selection of high-dimensional labeled data with limited observations is critical for making powerful predictive modeling accessible, scalable, and interpretable domain experts. Spectroscopy data, which records the interaction between matter electromagnetic radiation, particularly holds a lot information in single sample. Since acquiring such complex task, it crucial to exploit best anal...

In this paper, we study the inverse problem for Dirac differential operators with  discontinuity conditions in a compact interval. It is shown that the potential functions can be uniquely determined by the value of the potential on some interval and parts of two sets of eigenvalues. Also, it is shown that the potential function can be uniquely determined by a part of a set of values of eigenfun...

the northwestern part of the kerman cenozoic magmatic arc (kcma) contains many areas with porphyry copper mineralization. in this research, we used the advanced space-borne thermal emission and reflection radiometer (aster) and enhanced thematic mapper plus (etm+) images of this region to map the distribution of hydrothermally altered rocks, based on their mineral assemblages. the spectral meas...

Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or communication resources required by the method in processing large-scale data are often prohibitively high, and practitioners are often required to perturb the original data in various ways (quantization, downsampling...

Metadata is important for the interpretation of scientific data, quality assessment and long term usability of data sets. The sharing of spectral data collections among research groups is uncommon and one of the reasons for this is the missing standardisation of the sampling process. Appropriate metadata serves the purpose of detailing the sampling procedure and the surrounding conditions durin...

The goal of disease-related proteogenomic research is a complete description of the unfolding of the disease process from its origin to its cure. With a properly selected patient cohort and correctly collected, processed, analyzed data, large scale proteomic spectra may be able to provide much of the information necessary for achieving this goal. Protein spectra, which are one way of representi...