Date&Time: February 9, 2023 at 12:30 p.m. CET
[06:30 a.m. New-York] - [12:30 p.m. Paris] [13:30 p.m. Tampere]- [6:30
p.m. Beijing]
Title: The Super Neuron Model
– A new generation of ANN-based Machine Learning and Applications
Speaker: Moncef Gabbouj, Tampere, University, Tampere, Finland.
To join the webinar, please register to receive more details on how to
connect. The registration form can be found at:
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or via the website of the journal at:
https://jivp-eurasipjournals.springeropen.com/
Contact: Esinu Abadjivor <[log in to unmask]>
Abstract: Operational Neural Networks (ONNs) are new generation network
models targeting to address two major drawbacks of conventional
Convolutional Neural Networks (CNNs): the homogenous network
configuration and the “linear” neuron model that can only perform linear
transformations over previous layer outputs. ONNs can perform any linear
or non-linear transformation with a proper combination of “nodal” and
“pool” operators. This is a great leap towards expanding the neuron’s
learning capacity in CNNs, which thus far required the use of a single
nodal operator for all synaptic connections for each neuron. This
restriction has recently been lifted by introducing a superior neuron
called the “generative neuron” where each nodal operator can be
customized during the training in order to maximize learning. As a
result, the network is able to self-organize the nodal operators of its
neurons’ connections. Self-Organized ONNs (Self-ONNs) equipped with
superior generative neurons can achieve diversity even with a compact
configuration. We shall explore several signal processing applications
of neural network models equipped with the superior neuron.
Speaker Bio: MONCEF GABBOUJ received his BS degree in 1985 from Oklahoma
State University, and his MS and PhD degrees from Purdue University, in
1986 and 1989, respectively, all in electrical engineering. Dr. Gabbouj
is a Professor of Information Technology at the Department of Computing
Sciences, Tampere University, Tampere, Finland. He was Academy of
Finland Professor during 2011-2015. His research interests include Big
Data analytics, multimedia content-based analysis, indexing and
retrieval, artificial intelligence, machine learning, pattern
recognition, nonlinear signal and image processing and analysis, voice
conversion, and video processing and coding. Dr. Gabbouj is a Fellow of
the IEEE and member of the Academia Europaea and the Finnish Academy of
Science and Letters. He is the past Chairman of the IEEE CAS TC on DSP
and committee member of the IEEE Fourier Award for Signal Processing. He
served as associate editor and guest editor of many IEEE, and
international journals and Distinguished Lecturer for the IEEE CASS. Dr.
Gabbouj served as General Co-Chair of IEEE ISCAS 2019, ICIP 2020, ICIP
2024 and ICME 2021. Gabbouj is Finland Site Director of the USA NSF
IUCRC funded Center for Visual and Decision Informatics (CVDI) and led
the Artificial Intelligence Research Task Force of Finland’s Ministry of
Economic Affairs and Employment funded Research Alliance on Autonomous
Systems (RAAS).
Webinar videos are available online at https://vimeo.com/showcase/8005816.
--
jean-lucDUGELAY – Professor
http://www.eurecom.fr/~dugelay
Image Engineering & Security
IEEE, IAPR, Fellow
<http://www.eurecom.fr/%7Edugelay>
jld2eurecom
@dugelay2eurecom
PMI 677 801 4913
+33 (0)4 93 00 81 41
<https://jivp-eurasipjournals.springeropen.com/?utm_source=springer&utm_medium=banner&utm_content=website&utm_campaign=SPSN_2_IH01_email_sig_banner_SPRO>
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