Information distance is a parameter-free similarity measure based on compression, used in pattern recognition, data mining, phylogeny, clustering, and classification. The notion of information distance is extended from pairs to multiples (finite lists). We study maximal overlap, metricity, universality, minimal overlap, additivity, and normalized information distance in multiples. We use the th...

‎In this paper‎, ‎we characterize the class of orthogonality preserving operators on an infinite-dimensional Hilbert space $H$ as scalar multiples of unitary operators between $H$ and some closed subspaces of $H$‎. ‎We show that any circle (centered at the origin) is the spectrum of an orthogonality preserving operator‎. ‎Also‎, ‎we prove that every compact normal operator is a strongly orthogo...

A 33 years old woman, treated for hypertension on monotherapy for a year, was admitted on emergency for sudden onset headache. Clinical examination revealed a conscious patient, blood pressure= 13/7, with the presence of frank meningeal syndrome, no fever. Cerebral CT showed subarachnoid hemorrhage at the right middle cerebral valley. The arteriography objectified three aneurysmal dilations at ...

dans une conception traditionnelle, l’intelligence est fixée et peut être mesurée par un nombre dans un contexte déconnecté de toute réalité et s’attribuer une forme unique. dans une vision nouvelle, en se basant sur la théorie des intelligences multiples de gardner, l’intelligence a  en revanche de différentes composantes et peut être développée  durant toute la vie. le présent article s’intro...

Recently, a new approach to multiple removal has been introduced: estimation of primaries by sparse inversion (EPSI). Although based on the same relationship between primaries and multiples as surface-related multiple elimination (SRME), it involves quite a different process: instead of prediction and subtraction of multiples, in EPSI the unknown primaries are the parameters of a large-scale in...

The primary only imaging condition (POIC) can effectively remove some of the migration artifacts generated by multiple energy in the far-offset data. The multiples predicted by a POIC filter in the far-offset data are used to predict and eliminate the near-offset multiples in the τ−p domain with the Radon transform. The hybrid algorithm is tested on a simple synthetic example and the 2-D SMAART...