The possibility that researchers should be able to obtain data from all cases is questionable. There a need; therefore, this article provides probability and non-probability sampling. In paper we studied the differences similarities of two with approach more fritter away time, cost sufficient energy required throughout sample observed. pair shows between them, different articles were reviewed c...

We are interested in computing tail probabilities for the maxima of smooth Gaussian random fields. In this paper, we discuss two special cases: random fields defined over a finite number of distinct point and fields with finite KarhunenLoève expansions. For the the first case we propose an importance sampling estimator which yields asymptotically zero relative error. Moreover, it yields a proce...

Scene classification is a key problem in the interpretation of high-resolution remote sensing imagery. Many state-of-the-art methods, e.g. bag-of-visual-words model and its variants, the topic models as well as deep learning-based approaches, share similar procedures: patch sampling, feature description/learning and classification. Patch sampling is the first and a key procedure which has a gre...

a. Follow-ups to Session 13 • Comment on the codes from Session 13. The codes used in Session 13 use various " tricks " or shortcuts to make them more compact. In general, I don't recommend coding this way (so these codes should be rewritten!). For example, the choice of energy units is exploited so that energies are integers and therefore can be used as array indices. But if we added an extern...