The Unit of Assessment: Information Technology Department Contents 1. Introduction and general impressions ................................................................................................. 1

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• Education
• Knowledge
• Research Assessment Exercise
• Lappeenranta University of Technology
• Academia

Chemistry department assessment – Lappeenranta Technical University Contents 1. Introduction and general impressions ................................................................................................. 1

Source URL: www.lut.fi

• Education
• Knowledge
• Lappeenranta University of Technology
• Research Assessment Exercise
• Academia

To the Publication Committee of Lappeenranta University of Technology I hereby request that my dissertation/research paper/conference proceedings be accepted for publishing in the publication series “Acta Universitatis

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Improving the adhesion of sputtered metal coatings on PMMA using an ALD interlayer. T O Kääriäinen, M Tanttari and D C Cameron Advanced Surface Technology Research Laboratory, Lappeenranta University of Technology, 50

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CFD modelling supporting the design and development of gas cooled fast reactors Heikki Suikkanen Lappeenranta University of Technology

Source URL: nordic-gen4.org

Lappeenranta, kokoustilahinnasto Kokoustilat Kapasiteetti (hlö) Tuntihinta*

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Learning and detection of object landmarks in canonical object space Joni-Kristian Kamarainen∗ , Jarmo Ilonen Machine Vision and Pattern Recognition Laboratory ∗ Computational Vision Group, Kouvola Lappeenranta Unive

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NARROW BASELINE GLSL MULTIVIEW STEREO Pekka Paalanen Machine Vision and Pattern Recognition Laboratory (MVPR) Lappeenranta Univ. of Technology, Finland

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Registration for ERASMUS Open Innovation Summer School 2014, July 2014, Lappeenranta University of Technology The fields marked with a red star are obligatory. Top of Form  PERSONAL INFORMATION

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Full Reference Printed Image Quality: Measurement Framework and Statistical Evaluation Tuomas Eerola∗ , Lasse Lensu, and Heikki K¨alvi¨ainen Machine Vision and Pattern Recognition Research Group (MVPR), Lappeenranta

Source URL: vision.cs.tut.fi