Shahin Mahdizadehaghdam

Works (3)

Updated: July 5th, 2023 15:37

2019 article

Deep Dictionary Learning: A PARametric NETwork Approach

Mahdizadehaghdam, S., Panahi, A., Krim, H., & Dai, L. (2019, May 8). IEEE Transactions on Image Processing, Vol. 28, pp. 4790–4802.

By: S. Mahdizadehaghdam n, A. Panahi n, H. Krim n  & L. Dai*

author keywords: Image classification; deep learning; sparse representation
topics (OpenAlex): Image Processing Techniques and Applications; Image and Signal Denoising Methods; Digital Media Forensic Detection; Generative Adversarial Networks and Image Synthesis; Sparse and Compressive Sensing Techniques
TL;DR: The performance of the proposed hierarchical method increases by adding more layers, which consequently makes this model easier to tune and adapt and shows a remarkably lower fooling rate in the presence of adversarial perturbation. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 26, 2019

2019 article

Sparse Generative Adversarial Network

Mahdizadehaghdam, S., Panahi, A., & Krim, H. (2019, October 1). 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), pp. 3063–3071.

By: S. Mahdizadehaghdam n, A. Panahi n & H. Krim n 

topics (OpenAlex): Advanced Image Processing Techniques; Image and Signal Denoising Methods; Image Processing Techniques and Applications; Digital Media Forensic Detection
TL;DR: A new approach to Generative Adversarial Networks (GANs) to achieve an improved performance with additional robustness to its so-called and well-recognized mode collapse, by mapping the desired data onto a frame-based space for a sparse representation to lift any limitation of small support features prior to learning the structure. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: September 7, 2020

2016 article

Information Diffusion of Topic Propagation in Social Media

Mahdizadehaghdam, S., Wang, H., Krim, H., & Dai, L. (2016, January 1). IEEE Transactions on Signal and Information Processing over Networks, Vol. 2, pp. 569–581.

By: S. Mahdizadehaghdam n, H. Wang n, H. Krim n  & L. Dai *

author keywords: Computer networks; information diffusion; multi-layer network; topic propagation
topics (OpenAlex): Complex Network Analysis Techniques; Opinion Dynamics and Social Influence; Computational and Text Analysis Methods
TL;DR: The goal in this paper is to predict the specific states of the agents, as their observed resources evolve in time and get updated, using a notion of a supra-Laplacian matrix to address such a generalized diffusion of an interconnected network starting with the classical “graph Laplacians.” (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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