Seminar on Computer Science and Applied Mathematics
PROGRAM
Upravni odbor Matematickog instituta SANU je na nedavnoj sednici doneo odluku da se dosadasnji Seminar za primenjenu matematiku, sada nazove Seminar za racunarstvo i primenjenu matematiku, a u cilju potenciranja znacaja racunarstva kao jedne od oblasti delatnosti Instituta. Istovremeno, Upravni odbor doneo je odluku o osnivanju Odeljenja za racunarstvo i primenjenu matematiku i vezao rad novog odeljenja za rad Seminara za racunarstvo i primenjenu matematiku.
Ponedeljak, 14.09.2015. u 15:15h, sala 301f, MI SANU
!!!OBRATITE PAZNJU NA TERMIN!!!
Zajednicko predavanje sa Odeljenjem za matematiku
Panos Pardalos, Center for Applied Optimization, Department of
Industrial and Systems Engineering, University of Florida, FL
USA
http://ww.ise.ufl.edu/pardalos and
Laboratory of Algorithms and Technologies for Networks Analysis
(LATNA) National Research University, Higher School of Economics,
Russia
http://nnov.hse.ru/en/latna/
DATA SCIENCE FOR MASSIVE (DYNAMIC) NETWORKS
Abstract: Data science tools, such as data mining and optimization
heuristics, have been used to analyze many large (and massive)
data-sets that can be represented as a network. In these networks,
certain attributes are associated with vertices and edges. This
analysis often provides useful information about the internal
structure of the datasets they represent. We are going to discuss
our work on several networks from telecommunications (call graph),
financial networks (market graph), social networks, and
neuroscience.
Ponedeljak, 21.09.2015. u 14:15h, Sala 301f, MI SANU:
!!!OBRATITE PAZNJU NA TERMIN!!!
Zajednicki sastanak sa Odeljenjem za matematiku
Alexander Strekalovskiy, Mathematical Department, Irkutsk State
University, Russia
GLOBAL OPTIMALITY
CONDITIONS AND METHODS FOR NONCONVEX
MATHEMATICAL PROGRAMMING
Utorak, 29.09.2015. u 14:15h, Sala 301f, MI SANU:
Ashish Karmacharya, Institute for Spatial Information and
Surveying Technology, Hochschule Mainz - University of Applied
Sciences
COSCH$^{KR}$: STRUCTURAL REPRESENTATION OF CH
DOCUMENTATION
Abstract: Cultural Heritage is arguably one of most diverse field
where experts from multi-disciplines concentrate on activities to
achieve a common goal. Even diversity in CH applications: from
discovery to restoration and analysis of objects, do not exclude
the inclusion of these diverse communities to perform various
activities in coordinated ways. In order to achieve this high
degree of communicative understanding between such diverse groups
of experts, a reliable platform is needed for the coordination of
information exchange. The ongoing work on development of
COSCH$^{KR}$ (COSCH Knowledge Representation) within COSCH (Color
and Space in Cultural Heritage) - a COST Action intends to provide
such platform. The purpose is threefold: 1) to build technical and
cultural understanding between cross domain experts for better
understand and evaluate situation of other domains 2) to
facilitate CH experts in anticipating the technical complexities
for their respective CH applications 3) to support the technical
experts in evaluating CH applications and related objects for
better management of the technologies and related techniques
required. The model includes technical specifications and usages
of technical fields of spatial and spectral disciplines.
COSCH$^{KR}$ is a knowledge model expressed through Web Ontology Language (OWL). It is an inference model with enriched facts, rules and heuristics that binds different expert domains and structurally and conceptually different from CIDOC-CRM. The knowledge model is primarily design to guide experts in CH domains through the technically complexity while recording the CH objects for his/her application. It is not intended to design that stores this process and results through storing meta and para data of the documentation.
RUKOVODIOCI SEMINARA
MI SANU
Vera Kovačević-Vujčić
Milan Dražić
FON
Zorica Bogdanovic
Marijana Despotovic-Zrakic
IEEE
Bozidar Radenkovic