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Found 5 papers, 1 papers with code
Gridless 2D Recovery of Lines using the Sliding Frank-Wolfe Algorithm
We present a new approach leveraging the Sliding Frank--Wolfe algorithm to address the challenge of line recovery in degraded images.
Instantaneous Frequency Estimation in Multicomponent Signals in Case of Interference Based on the Prony Method
In this paper, we develop a general method to estimate the instantaneous frequencies of the modes making up a multicomponent signal when the former exhibit interference in the time-frequency plane.
From CNNs to Shift-Invariant Twin Models Based on Complex Wavelets
Arguably, our approach's emphasis on retaining high-frequency details contributes to a better balance between shift invariance and information preservation, resulting in improved performance.
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
This paper focuses on improving the mathematical interpretability of convolutional neural networks (CNNs) in the context of image classification.
Dual-Tree Wavelet Packet CNNs for Image Classification
In this paper, we target an important issue of deep convolutional neural networks (CNNs) — the lack of a mathematical understanding of their properties.
