Search Results for author: Milos Dakovic

Found 5 papers, 0 papers with code

Eigenvalues of Symmetric Non-normalized Discrete Trigonometric Transforms

no code implementations16 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.

Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification

no code implementations3 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.

Image Classification

Analytical Interpretation of Latent Codes in InfoGAN with SAR Images

no code implementations26 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.

Image Generation

Improved Coherence Index-Based Bound in Compressive Sensing

no code implementations11 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.

Compressive Sensing

Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications

no code implementations2 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.

BIG-bench Machine Learning

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