Programe doctorale - Electronica, Telecomunicatii si Tehnologia Informatiei
Adresa: Str. George Baritiu, nr. 26, Corp S, Sala S2.3, Cluj-Napoca, Romania
Coordonator consiliu: Prof.dr.ing. Mircea Giurgiu
Telefon: 0264 202452
Special Session "Multimodal Signal Processing and Classification" @ IEEE TSP 2020
We are pleased to invite you at the following special session:
Multimodal Signal Processing and Classification
organized under the framework of 2020 43rd IEEE International Conference on Telecommunications and Signal Processing (TSP) – July 6th-8th, 2020, Milan, Italy (http://tsp.vutbr.cz/) - indexed ISI Thomson Reuters, IEEE Xplore, Scopus, DBLP.
Paper Submission Deadline: February 15, 2020
- Prof. Corneliu Burileanu – University Politehnica of Bucharest, Romania (E-mail: email@example.com)
- Assoc. Prof. Anamaria Radoi – University Politehnica of Bucharest, Romania (E-mail: firstname.lastname@example.org)
Our experience over the world is multimodal, e.g., we see objects, hear sounds, smell odors. More precisely, we sense the environment through a multimodal and complex system. In order to build intelligent perceiving systems that analyze information acquired by sensors with different physical properties, multimodal analysis systems require powerful tools in terms of signal processing, machine learning and data mining. The implications cover a wide range of domains, from audio-visual speech recognition to multimodal human-computer interfaces and media description. Under the framework of 2020 43rd International Conference on Telecommunications and Signal Processing (TSP) held during July 6-8, 2020 in Milan, Italy, the aim of this special session is to foster the use of multimodal machine learning and data analysis tools among the signal processing community, to bridge the gap between researchers from academia and industry professionals in AI-related fields and identify possible collaborations. This special session will provide a forum of discussion on the recent advances and development experiences, with the goal of creating a synergy between signal processing and machine learning domains.
Topics include but are not limited to:
- Models and methods for extracting information from multimodal data
- Applications in Computer Vision, Natural Language Processing, Spoken Language Technology, Biomedical Engineering
- Data fusion
- Machine Learning
- Deep neural networks
- Data mining
- Knowledge discovery
- Data visualization and communication
We are looking forward to see you in Milan!