The hyperspectral feature extraction technique is one of the most popular topics in remote sensing community. However, methods are based on region-based local information descriptors while neglecting correlation and dependencies different homogeneous regions. To alleviate this issue, paper proposes a multi-view structural method to furnish complete characterization for spectral–spatial structur...

In generalized linear regression problems with an abundant number of features, lasso-type regularization which imposes an `-constraint on the regression coefficients has become a widely established technique. Crucial deficiencies of the lasso were unmasked when Zhou and Hastie (2005) introduced the elastic net. In this paper, we propose to extend the elastic net by admitting general nonnegative...

Roads, buildings and bridges are the main structural features obtained from satellite images. Detection of clouds and shadows supports the extraction of these features. Different algorithms are available for the extraction of these features, depending on the availability of remotely sensed data. In this paper, a comparative study is done for different algorithms using different types of data. I...

Software product line engineering aims at reducing development time, effort, cost, and complexity by taking advantage of the commonality within a portfolio of similar products. The effectiveness of a software product line approach directly depends on how well feature variability within the portfolio is implemented and managed throughout the development lifecycle, from early analysis through mai...

The wrapper approach to feature selection requires the assessment of several subset alternatives and the selection of the one which is expected to have the lowest generalization error. To tackle this problem, practitioners have often recourse to a search procedure in a very large space of subsets of features aiming to minimize a leave-one-out or more in general a cross-validation criterion. It ...

We consider the problem of classifying business process instances based on structural features derived from event logs. The main motivation is to provide machine learning based techniques with quick response times for interactive computer assisted root cause analysis. In particular, we create structural features from process mining such as activity and transition occurrence counts, and ordering...

In this paper, structural, magnetic, optical, and photocatalytic properties of core-shell structure Fe3O4@GO nanoparticles have been compared with Fe3O4 nanoparticles in the degradation of methyl blue and methyl orange. For this purpose, GO nanosheets were wrapped around the APTMS-Fe3O4 nanoparticles and then charact...