CS Colloquium Series @ UCY
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Colloquium Coordinator: Demetris Zeinalipour
Colloquium: Challenging Temporal Segmentation? Try Hidden Markov Models for your Pattern Recognition: A Practical Example in our Daily Life., Dr. Aristotelis Dosis (University of Cyprus, Cyprus), Wednesday, March 16, 2016, 16:00-17:00 EET.
The Department of Computer Science at the University of Cyprus cordially invites you to the Colloquium entitled:
Challenging Temporal Segmentation? Try Hidden Markov Models for your Pattern Recognition: A Practical Example in our Daily Life.
Speaker: Dr. Aristotelis Dosis
Hidden Markov Models (HMM) are especially known for their application in temporal recognition. Although the mathematics behind the HMM were developed by L.E. Baum and his coworkers in the late 1960s and early 1970s, they had no practical use. It was only after Lawrence Rabiner who pioneered the implementation of HMMs in the Speech Recognition with his famous paper "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition" that created a massive momentum to the global research community to adopt HMMs in solving challenging temporal pattern recognition problems. In this presentation we will attempt to highlight the basic elements of HMM and we will look at a practical example to recognise a temporal system.
Dr Aristotelis Dosis is a member of IEEE and holds a PhD from the Dept. of Surgical Technology and the Dept. of Computer Science at Imperial College London in the field of Surgical Computing & Imaging, funded by Intuitive Surgical, CA, USA and BUPA Foundation, UK. In 2005 he has received a grant from Imperial Innovations to develop a Smart Conventional Laparoscopic Instrument with Active Force Feedback, which has produced a prototype and in 2007 was sold to TYCO Inc, USA. Since 2005 he has held senior software engineer and consulting positions in medium and large enterprises in the UK, France, South Africa and Cyprus. He has also collaborated with the Cyprus University of Technology in the field of Smart Mobility and Internet of Things for the project ePark, while developing the project DisAssist which aimed to help people with disabilities. His research interest area topics include surgical robotics and technologies in minimally invasive surgery, ubiquitous computing, wireless sensor networks, smart living and internet of things. He has published 21 papers.
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