Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Ashkan Yazdani"'
Autor:
Stephan Windecker, Joanna J. Wykrzykowska, Maik J. Grundeken, Carlo Di Mario, Yoshinobu Onuma, Peter Jüni, Ton de Vries, Thomas Ischinger, Roberto Corti, Scot Garg, Marie-Claude Morice, Samuel Copt, Axel Linke, Ashkan Yazdani, Yuki Ishibashi, Paweł Buszman, Franz R. Eberli, Volker Klauss, Bernhard Meier, Hector M. Garcia-Garcia, Robbert J. de Winter, Patrick W. Serruys, William Wijns
Publikováno v:
Catheterization and Cardiovascular Interventions. 87:E248-E260
BACKGROUND Historically, percutaneous coronary intervention (PCI) of bifurcation lesions was associated with worse procedural and clinical outcomes when compared with PCI of non-bifurcation lesions. Newer generation drug-eluting stents (DES) might im
Publikováno v:
ACM Transactions on Multimedia Computing Communications and Applications (TOMM)
Olfaction-enhanced multimedia experience is becoming vital for strengthening the sensation of reality and the quality of user experience. One approach to investigate olfactory perception is to analyze the alterations in brain activity during stimulat
Publikováno v:
MMSP
The automatic recognition of human emotions from physiological signals is of increasing interest in many applications. Images with high emotional content have been shown to alter signals such as the electrocardiogram~(ECG) and the respiration among m
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 2:1-26
Assessing emotional states of users evoked during their multimedia consumption has received a great deal of attention with recent advances in multimedia content distribution technologies and increasing interest in personalized content delivery. Physi
Autor:
Touradj Ebrahimi, Anton Nijholt, Jong-Seok Lee, Ioannis Patras, Christian Mühl, Mohammad Soleymani, Sander Koelstra, Ashkan Yazdani, Thierry Pun
Publikováno v:
IEEE Transactions on Affective Computing, Vol. 3, No 1 (2012) pp. 18-31
IEEE transactions on affective computing, 3(1), 18-31. IEEE
IEEE transactions on affective computing, 3(1), 18-31. IEEE
We present a multimodal data set for the analysis of human affective states. The electroencephalogram (EEG) and peripheral physiological signals of 32 participants were recorded as each watched 40 one-minute long excerpts of music videos. Participant
Autor:
Mariano Valdés, Keith G. Oldroyd, Franz X. Kleber, Philip Urban, Franz R. Eberli, Ashkan Yazdani, David Hildick-Smith, Erifyli Kalloudi, Ian B. A. Menown, Imad A. Alhaddad
Publikováno v:
Journal of the American College of Cardiology. 66(15)
The e-Biomatrix registry is a prospective, multi-center, observational registry investigating the long-term clinical events after treating a “real world, all-comers” patient population with either BioMatrix™ or BioMatrix Flex™ stents. This BA
Publikováno v:
Computer Communications and Networks ISBN: 9781447145547
Social Media Retrieval
Social Media Retrieval
By annotating multimedia contents, users of a web resource can associate a word or a phrase (tag) with that resource such that other users can retrieve it by means of searching. Nowadays, tags play an important role in search and retrieval process in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84d6036480e63a6a847085d2cd1a87cb
https://doi.org/10.1007/978-1-4471-4555-4_11
https://doi.org/10.1007/978-1-4471-4555-4_11
Publikováno v:
MIRUM
Nowadays, the amount of multimedia contents is explosively increasing and it is often a challenging problem to find a content that will be appealing or matches users' current mood or affective state. In order to achieve this goal, an effcient indexin
Publikováno v:
Affective Computing and Intelligent Interaction ISBN: 9783642245701
ACII (2)
ACII (2)
Studying emotions has become increasingly popular in various research fields. Researchers across the globe have studied various tools to implicitly assess emotions and affective states of people. Human computer interface systems specifically can bene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94942268ebe9dc76d615bfbc59a49e6e
https://doi.org/10.1007/978-3-642-24571-8_58
https://doi.org/10.1007/978-3-642-24571-8_58
Publikováno v:
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
Autonomous decision making modules in computer vision application allow recognition and classification of different objects, persons, and events in images and video sequences and also make it possible to classify different sensor readings (e.g. image