Submission Deadline:
June 30th, 2023
Notification of Acceptance:
July 5th, 2023
Conference Dates:
July 06-08, 2023
Prof. Dr. Rumen Mironov
lab. 1262, fl. 2, bldg. 1
Technical University of Sofia
8 Kliment Ohridski Blvd.
1756 Sofia
Bulgaria
E-mail: namsp2023@gmail.com
Tel: +359 2 965 2274
Contact for China
Editor Chaoming Yang
IRNet China, Wuhan
QQ:2317185350
Tel: 15527861909 (Editor Tang)
4th International Workshop on New Approaches for
Multidimensional Signal Processing
NAMSP 2023
Technical University of Sofia, Sofia, Bulgaria
July 06-08, 2023
Plenary Speakers
Prof. Mariofanna Milanova, Professor in Computer Science, University of Arkansas at Little Rock, USA
Title of Lecture:
Pyramidal Decomposition Used in Generative Artificial Intelligence Models
Abstract: During the presentation, we'll explore the implementation of Pyramidal decomposition in various Generative Artificial Intelligence Models. Pyramidal decomposition is just one example of how hierarchical representations can be leveraged in deep learning models. The specific implementation details may vary depending on the task, model architecture, and available computational resources. The advantage of pyramidal decomposition is that it allows the model to capture multi-scale information from the input, enabling better handling of objects at different sizes and levels of detail. It helps in detecting both fine-grained details and global context in the input image, leading to improved performance in tasks such as object recognition, segmentation, and image generation. This talk serves as a brief overview of our recent research.
Biographical Notes: Dr. Mariofanna Milanova is a professor in the Department of Computer Science at UA Little Rock and has been a faculty member since 2001. She received a M.Sc. in Expert Systems and Artificial Intelligence and Ph.D. in Engineering and Computer Science from the Technical University, Sofia, Bulgaria. Dr. Milanova conducted post-doctoral research in visual perception at the University of Paderborn, Germany. Dr. Milanova has extensive academic experience at various academic and research organizations worldwide.
Dr. Milanova is an IEEE Senior Member, Fulbright U.S. Scholar, and NVIDIA Deep Learning Institute University Ambassador. Dr. Milanova's work is supported by NSF, NIH, DARPA, DoD, Homeland Security, NATO, Nokia Bell Lab, NJ, USA and NOKIA, Finland. She has published more than 120 publications, over 53 journal papers, 35 book chapters, and numerous conference papers. She also has two patents.