Institute of Information Theory and Automation

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Projects

Department: RO Duration: 2011 - 2013 Grantor: GACR
Real-world comprises thousands of materials having different surface textures. The appearance of these textures is a key in our everyday judgements of material properties. These judgements are based on our past experience, recognition, and usage of these materials.
Department: ZOI Duration: 2011 - 2013 Grantor: GACR
The project deals with generalization of existing theory of moment invariants, with derivation of new invariants for object description and recognition, with proposal of stable and efficient numerical algorithms for their computation, and with their software implementation in a form of MATLAB toolbox.
Department: E Duration: 2011 - 2013 Grantor: GACR
The aim of the proposed grant project is to amplify results obtained in the previous projects (especially project 402/05/0115 evaluated as excellent, and the current project 402/08/0107).
Department: AS Duration: 2011 - 2014 Grantor: GACR
The aim of this project is to explore new directions in diagnostics, control and parameter identification strategies of ac electric drives under critical operating conditions. Main attention will be paid to sensorless drive control and estimation in standstill and low speeds. We propose to explore suitability of methods from Bayesian identification and stochastic control in this area.
Department: VU Duration: 2011 - 2013 Grantor: GACR
Recent works characterizing the vague information sources and dealing with fuzzy set theory are closely analogous to the classical probabilistic model and they are not specifically aimed to the economic problems.
Department: ZOI Duration: 2011 - 2014 Grantor: TACR
GenEx - System for support of the FISH method evaluation The goal of this project is to develop a system for computer-aided evaluation of molecular cytogenetic analyses. The primary use of the system is in evaluation of image data originating from the FISH (Fluorescence In-Situ Hybridization) analysis.
Department: RO Duration: 2010 - 2012 Grantor: FG
The main goal of this project is to identify relationships between human perception of real-world materials properties and corresponding computational features. We will use Bidirectional Texture Functions as state-of-the-art digital representation of illumination and view dependent real-world material appearance as an initial data for our analysis.
Department: ZS Duration: 2010 - 2012 Grantor: FG
Project SMECY is partially supported by ARTEMIS Joint Undertaking (project number 100230) and by Ministry of Education, Youth and Sports of the Czech rep.

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