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MILE.Designer | - About
http://mile.fit.fraunhofer.de/about
Der MILE.designer wird im Rahmen des MILE Projekts entwickelt. Weitere Informationen zum Projekt erhalten Sie unter http:/ mile-bw.de/. Das Konsortium besteht aus MLR Baden-Württemberg. Phone: 49 2241 14-2643. Fax: 49 2241 14-2084. Email: constantin.brosda@fit.fraunhofer.de.
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MILE.Designer | - Publishing Notes
http://mile.fit.fraunhofer.de/impressum
The Fraunhofer Institute for Applied Information Technology FIT has no separate legal status and is a constituent entity of. Zur Förderung der angewandten Forschung e.V. Hansastraße 27 c. In accordance with §27 a VAT Tax Act: DE 129515865. Amtsgericht München (district court). Registration no. VR 4461. Constantin.brosda@fit.fraunhofer.de. Phone: 49 2241 14-2643. Please note: If you have general questions concerning the institute please refer to persons mentioned under 'Contact'. Notwithstanding this requ...
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http://mile.fit.fraunhofer.de/download
Lade dir jetzt den MILE.Explorer. Läuft auf Mobiltelefonen mit Android 4.0 oder höher. Für die Installation muss das Installieren von Nicht-Market-Anwendungen erlaubt sein: Einstellungen = Anwendungen = Unbekannte Herkunft. Aktualisierte Version: MILE.Explorer Version 1.1.3 (01. September 2015). Du kannst diese Webseite auch über den folgenden QR-Code mit deinem Smartphone öffnen:.
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MILE is housed in the Department of Electrical Engineering, Indian Institute of Science. The lab is one of the premier research centers in India focusing on a wide range of areas such as Machine Listening, Medical Image Processing, Document Image Analysis and Recognition, Online handwriting recognition, Text to Speech Synthesis in Indian languages and Natural language processing. The lab is under Prof. A. G. Ramakrishnan. Using IT to unravel ancient wisdom contained in manuscripts - Deccan Herald Article.
MILE Lab
Medical Intelligence and Language Engineering Lab. Department of Electrical Engineering, Indian Institute of Science. Currently we are working on improving the quality of low resolution degraded document images for better recognition and readability using deep learning techniques. Building automatic speech recognition system using neural networks and finite state transducers to recognize Tamil utterances covering a large vocabulary. 4 papers have been accepted in INDICON 2017 at IIT Roorkee. May 22, 2017.
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Pour gérer vos équipements technologiques. Pourquoi acquérir ou financer de façon classique des équipements à forte obsolescence? Découvrez les solutions évolutives MILE et optimisez la gestion de vos actifs technologiques. Un salon, un événement, une formation, des tests et développement? Louez de 1 jour à plusieurs mois pour vos besoins ponctuels une gamme d’équipements récents déployables sous 24 à 48h. Des solutions locatives adaptées aux différents besoins. Nouveau partenariat avec LENOVO. Vous souh...
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