Connectionists: AIDA Semester Courses by Prof. Ioannis Pitas: "Computer Vision", "Pattern Recognition-Statistical Learning", "Autonomous Systems Perception", March-June 2024

[Efi]

Dear AI/CS/ECE student/scientist/engineer/enthusiast,


the International AI Doctoral Academy (AIDA <https://www.i-aida.org/>) is
excited to invite you to register and attend the upcoming semester courses
by *Prof. Ioannis Pitas*:



Host Institution: Aristotle University of Thessaloniki



   1. *Computer Vision*

This course will cover the following topics:
Εdge detection. Image segmentation. Image texture. Image features. Image
registration. Image search and retrieval. Image topology. 2D shape
description and recognition. Deep learning and computer vision. Moving
images – Digital video. Video digitization. Video perception. Video
processing. Motion estimation. Object tracking. Video description. Video
search and retrieval. Deep learning and video analysis.

*ECTS*: *5*
*Level*: *Senior undergraduate course*
*Course attedance: Asynchronous online participation *
*4 March - June 2024*
*Join us and explore further*:
https://www.i-aida.org/course/computer-vision-6/



   1. *Pattern Recognition-Statistical Learning*

This course will cover the following topics: Random variables and vectors.
Decision functions. Classification algorithms utilizing decision functions.
Classification based on distance. Classification based on Bayes decision
theory. Artificial Neural Networks – Perceptron. Convolutional Neural
Networks. Principal component analysis. Linear discriminant analysis.
Estimation of probability distribution parameters. Analysis of similarity
and web graphs. Vector quantization techniques. Programming assignments in
C/C++ and MATLAB.

*ECTS*: *5*
*Level*: *Senior undergraduate course*
*Course attedance: Asynchronous online participation *
*4 March - June 2024*
*Join us and explore further*:
https://www.i-aida.org/course/pattern-recognition-statistical-learning-4/



   1. *Autonomous Systems Perception*

This course will cover the following topics: Autonomous systems. Visual and
other sensors. Image/video basics, formats and digitization. Video
processing. Video streaming and compression. Motion estimation. Deep
learning for image and video analysis. Object tracking. Object detection.
Object pose estimation. SLAM. Face/person detection. Facial expression
recognition. Activity recognition. Video description. Video indexing and
retrieval.

*ECTS*: *7,5*
*Level*: *Postgraduate course*
*Course attedance: Asynchronous online participation *
*4 March - June 2024*
*Join us and explore further*:
https://www.i-aida.org/course/autonomous-systems-perception-4/




*Registration*: Both AIDA and non-AIDA students are encouraged to
participate in these semester courses:

   -

   Register in each course by sending an e-mail to  secretariat at i-aida.org.
   -

   *For AIDA students only**: On the top of the above registration, enroll
   in each course through the above AIDA course pages, so that a successful
   attendance of these courses appears in the AIDA Certificate of Course
   Attendance.

*AIDA Students are PhD students/candidates or Postdoc researchers belonging
to any AIDA member <https://www.i-aida.org/about/members/>.

Compulsory bibliographical and/or programming assignments are foreseen to
be carried out during the courses.

In order to pass each course, you will be requested to:

1.       study the course lecture pdfs (in English) and fill the respective
understanding questionnaires:

2.       do an obligatory bibliographical project (in ppt and tex)

3.       do an obligatory programming project

4.       participate in the final written course exams (remotely).







The *International AI Doctoral Academy (AIDA) <http://www.i-aida.org/>*, a
joint initiative of the European R&D

projects AI4Media <https://ai4media.eu/>, ELISE
<https://www.elise-ai.eu/>, Humane
AI Net <https://www.humane-ai.eu/>, TAILOR <https://tailor-network.eu/>,
VISION <https://www.vision4ai.eu/> supports a world-level AI education and
research program. AIDA has regular lecture series, short courses, semester
courses, and summer schools with the participation of hundreds of academics
and serving a growing community of AI PhD students and researchers.



Best regards

AIDA Secretariat
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