Works (3)

Updated: July 5th, 2023 15:37

2019 journal article

Deep Dictionary Learning: A PARametric NETwork Approach

IEEE TRANSACTIONS ON IMAGE PROCESSING, 28(10), 4790–4802.

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

author keywords: Image classification; deep learning; sparse representation
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)
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4. Quality Education (OpenAlex)
Source: Web Of Science
Added: August 26, 2019

2019 article

Sparse Generative Adversarial Network

2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), pp. 3063–3071.

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

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)
Source: Web Of Science
Added: September 7, 2020

2016 journal article

Information Diffusion of Topic Propagation in Social Media

IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2(4), 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
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)
Source: Web Of Science
Added: August 6, 2018

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