KMi Publications

Tech Reports

12 Tech Reports | Zdenek Zdrahal


Concept learning - investigating the possibilities for a human-machine dialogue
Techreport ID: kmi-09-01
Date: 2009
Author(s): Gabriela Pavel, Zdenek Zdrahal, Paul Mulholland
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A Generic Library of Problem Solving Methods for Scheduling Applications
Techreport ID: kmi-05-11
Date: 2005
Author(s): Dnyanesh Rajpathak, Enrico Motta, Zdenek Zdrahal, and Rajkumar Roy
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Towards a Framework for Acquisition of Design Knowledge
Techreport ID: kmi-01-09
Date: 2001
Author(s): Martin Dzbor and Zdenek Zdrahal
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Towards a Logical Framework for Sequential Design
Techreport ID: kmi-01-10
Date: 2001
Author(s): Martin Dzbor and Zdenek Zdrahal
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to be announced
Date: 1998
Author(s): Zdenek Zdrahal and John Domingue


Enriching Representations of Work to Support Organisational Learning
Techreport ID: kmi-98-01
Date: 1998
Author(s): Tamara Sumner, John Domingue and Zdenek Zdrahal
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The World Wide Design Lab: An Environment for Distributed Collaborative Design
Techreport ID: kmi-97-08
Date: 1997
Author(s): Zdenek Zdrahal and John Domingue
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Parametric Design Problem Solving
Techreport ID: kmi-96-05
Date: 1996
Author(s): Enrico Motta and Zdenek Zdrahal
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Improving Competence by Integrating Case-Based Reasoning and Heuristic Search
Techreport ID: kmi-96-06
Date: 1996
Author(s): Zdenek Zdrahal and Enrico Motta
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Solving VT in VITAL: A Study in Model Construction and Knowledge Reuse
Techreport ID: kmi-95-09
Date: 1995
Author(s): Enrico Motta, *Kieron O'Hara, *Nigel Shadbolt, Arthur Stutt and Zdenek Zdrahal
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Multiple Agent Systems for Configuration Design
Techreport ID: kmi-95-05
Date: 1995
Author(s): Stuart Watt, Zdenek Zdrahal and Mike Brayshaw
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The Trouble with What: Issues in method-independent task specifications
Techreport ID: kmi-95-02
Date: 1995
Author(s): Enrico Motta and Zdenek Zdrahal
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KMi Publications
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

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