no code implementations • 16 Feb 2023 • Ali Bagheri Bardi, Milos Dakovic, Taher Yazdanpanah, Ljubisa Stankovic
New explicit analytic expressions for the eigenvalues, together with their multiplicities, for the cases of three DTT (DCT$_{(1)}$, DCT$_{(5)}$, and DST$_{(8)}$), are the main contribution of this paper.
no code implementations • 3 Feb 2023 • Zhenpeng Feng, Hongbing Ji, Milos Dakovic, Xiyang Cui, Mingzhe Zhu, Ljubisa Stankovic
Furthermore, we propose an artful strategy to forge a cognition-base map and cognition-scissors from clustered feature maps.
no code implementations • 26 May 2022 • Zhenpeng Feng, Milos Dakovic, Hongbing Ji, Mingzhe Zhu, Ljubisa Stankovic
In this paper, we show that latent codes are disentangled to affect the properties of SAR images in a non-linear manner.
no code implementations • 11 Mar 2021 • Ljubisa Stankovic, Milos Brajovic, Danilo Mandic, Isidora Stankovic, Milos Dakovic
Within the Compressive Sensing (CS) paradigm, sparse signals can be reconstructed based on a reduced set of measurements.
no code implementations • 2 Jan 2020 • Ljubisa Stankovic, Danilo Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides
Many modern data analytics applications on graphs operate on domains where graph topology is not known a priori, and hence its determination becomes part of the problem definition, rather than serving as prior knowledge which aids the problem solution.