Objective
The project PRINCESS pursues scientific collaboration between six groups. The project is supposed to run for 24 months starting from approximately March 2005.The scientific objective of the PRINCESS project is to contribute to theoretical basis for creating algorithmic technologies of pattern recognition and supervised and unsupervised learning. The emphasis will be given to object recognition from signals, symbolic sequences and images. This technology is needed for sharing knowledge and uncertain information in informatics in general. It is applicable in mobile robotics and in systems with distributed sensors as well.
The proposal addresses both topics expected in the call, i.e.
(a) foundations and methodologies for excerpting knowledge from uncertain (including sensorial) information and
(b) specifically from images and video.
The traditional (and in a certain sense problematic) approach is to extract such a kind of informative characteristics from data, which represent each object in a vector feature space. There exists a variety of heuristic ways to evaluate the dissimilarity between signals, symbolic sequences or images using an appropriate deformation of their argument axes in the vector space and to form set of two-argument functions each of which possess all the properties of a metric. There have been attempts to utilize structure of signals, symbolic sequences and images to enhance recognition capabilities. This projects aims in this direction too. A structural approach implies inferring the final decision from descriptions of parts and expressed relationships among them. The idea of the proposed investigation is to introduce a collection of heuristically chosen metrics. They will be used for arranging a cooperation of the respective compactness hypotheses to achieve better predictive properties of the decision rule inferred from a small training set by statistical as well as structural techniques.
The first objective is to create a general theoretical and methodological framework in the following areas:
(1) finding empirically regularities in sets of signals, symbolic sequences and images,
(2) dissimilarity-based structural pattern recognition,
(3) recognition using two-dimensional context-free languages.
More specifically the following topics are to be investigated:
(a) Metrics for signals, symbolic sequences and images.
(b) Dissimilarity-based pattern recognition using structured stochastic models.
(c) Fusion of information represented by various dissimilarity metrics.
(d) 2D context free languages for pattern recognition.
The second objective is to transform theoretical knowledge into operational skills. This is going to be performed through conducting pilot applications at UniS Guildford (human faces), at TU Dresden (utilization of structured stochastic models to 3D reconstruction from 2D images) and at CTU Prague (structured printed 2D documents of mathematical formulae).
Fields of science (EuroSciVoc)
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
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Coordinator
16627 Prague 2
Czechia
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.