Lectures / Seminars

Manifold Modeling and Random Projections for Human Action Classification

Interactive Displays offer a wealth of opportunities for applications dealing with human computer interaction, personalized content delivery, entertainment, education, customer service and smart spaces. This talk discusses recent research performed at RIT's Real Time Computer Vision Lab on human action classification, such as face detection, tracking, pose estimation and expression recognition, that can be used to support Interactive Display applications.

Intelligent Electricity Networks and Distributed Intelligence

Η παρουσίαση αφορά την ερευνητική δραστηριότητα του Εργαστηρίου Συστημάτων Ηλεκτρικής Ενέργειας στην περιοχή των Ευφυών Δικτύων Ηλεκτρισμού εστιάζοντας σε εφαρμογές κατανεμημένης νοημοσύνης. Ειδικότερα γίνεται χρήση της Θεωρίας των ευφυών πρακτόρων για διαχείριση καταναλωτών καθώς και μονάδων διεσπαρμένης παραγωγής. Τέλος θα παρουσιαστούν εφαρμογές Διαχείρισης Ενέργειας που αναπτύχθηκαν από το εργαστήριο.

Wireless Battle Mesh v5

The WirelessBattleMesh is an event aiming to bring together developers of mesh protocols, embedded firmwares, wireless drivers as well as applications on top of mesh networks. This wide range of expertise also attracts academics, wireless community members and open source enthusiasts. The coming WirelessBattleMesh edition will take place in Greece in March 2012. This meeting will give you insights of what to expect from such an event and how you could support it. Link: http://battlemesh.org/.

A Tool For Sensor Placement and System Monitoring in Assistive Environments

Assistive Environments is a rapidly growing research field where researchers try to introduce state of the art technology into everyday life aiming to improve its quality. Everyone can benefit from it but first and foremost people with special needs such as elderly, disabled or patients. The proposed tool is part of zScope, which is a web based tool that will be able to monitor human behaviour and is responsible for placing and monitoring the various sensors in the environment.

Multi-view Clustering

The most common scenario in the machine learning setting is to represent data by a single vector, or graph space. However, in real life, multi-modal datasets exist. Each instance in these datasets has multiple representations (views) from various feature spaces. How to effectively combine all views in order to boost the efficacy of machine learning algorithms has led to the emergence of a new research area, called multi-view learning. This talk will focus on the clustering of multi-view data, providing useful insights into the problem and some novel multi-view approaches will be presented.

A Comparative Study of Reinforcement Learning Techniques on Dialogue Management

Adaptive Dialogue Systems are rapidly becoming part of our everyday lives. As they progress and adopt new technologies they become more intelligent and able to adapt better and faster to their environment. Research in this field is currently focused on how to achieve adaptation, and particularly on applying Reinforcement Learning (RL) techniques, so a comparative study of the related methods, such as this, is necessary.

Presentation of public opinion as shaped within the context of Public Consultation

The presentation is related to the final work conducted within the framework of the educational process of the National School of Public Administration and focuses on the comments published in the Public Consultation of the draft legislation as well as the opportunities for export and visualization of information from them. More specifically classification methods and visualization toolς of the trends as shown by the expression of the citizens views are examined, using free software.

Public consultation using Web 2.0 technologies: The Greek case

In times of crisis, as the crisis of democracy that emerged the last decades, the internet and information and communication technology added their own impact in modern proposals for remedying the shortcomings of representative democracy. The purpose of this study is to examine the operation of the public consultation platform OpenGov, the efficiency with which it has been used until today, and the feasibility of using argument visualization tools for improving the quality of consultation.

Smart Antennas and Interference Mitigation Techniques in Cognitive Radio Networks

Smart antennas in the form of beam-forming, spatial multiplexing and MIMO have been widely used in wireless communication networks to enhance data rates, increase coverage and mitigate interference. Various communication standards such as WiMAX and LTE support the use of multiple antennas to enhance quality of transmission and reception of signals. As smart antennas exploit the spatial dimension to increase network capacity, this has been considered as a promising technique to meet ever increasing demand on radio spectrum.

Query expansion using knowledge organisation systems: requirements for natural language processing

The purpose of this presentation is to outline the requirements for natural language processing (NLP) when using knowledge organisation systems (KOS) for query expansion (QE). Knowledge organisation systems such as Term lists (authority files, glossaries, dictionaries, gazetteers), Classification and Categories (classification scheme, taxonomy, subject headings) and Relationship lists (thesaurus, semantic network, ontology) are common tools for query expansion.

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