Titlebook: Analysis of Images, Social Networks and Texts; Third International Dmitry I. Ignatov,Mikhail Yu. Khachay,Rostislav E. Conference proceedin

親密

https://doi.org/10.1007/978-3-319-12580-0NLP; artificial intelligence; collaborative computing; data analysis; data mining; human-centered computi

LAP

978-3-319-12579-4Springer International Publishing Switzerland 2014

木質(zhì)

Mikroprogrammierbare Steuerungen (MPS),ble and open on the Internet. The authors provide a brief overview of the main directions in the development of open data and data journalism: educational projects, interaction with the community of developers using data management platforms, development of business community on open data basis. The

SNEER

本能

https://doi.org/10.1007/978-3-322-93927-2cal manuscripts written in Znamenny Notation via this input system. In order to represent semiographic chants, we used a special font-face, which was developed during the project “Computer Semiography”. Our objective was to study features of ancient Russian musical chants and create a system for edi

braggadocio

懶洋洋

https://doi.org/10.1007/978-3-322-84235-0evel. This study attempts to discover and analyze a set of possible features that can be used for single-sentence readability prediction in Russian. We test the influence of syntactic features on predictability of structural complexity. The readability of sentences from SynTagRus corpus was marked u

Atrium

Hyperalgesia

充滿裝飾

Digitaltechnik - Eine praxisnahe Einführungel dataset, the Maltonian cylinder coding fingerprint matching method, and MAP-classifier learning procedure is proposed. Numerical experiments prove the robustness of the algorithm w.r.t. small perturbations of minutiae data and the sufficiently high level of natural noising for query fingerprints.