Results 71 to 80 of about 1,305,191 (158)
Enhancing Generalization in Convolutional Neural Networks through Regularization with Edge and Line Features [PDF]
Artificial Neural Networks and Machine Learning - ICANN 2024,
Lecture Notes in Computer Science, vol 15016. SpringerThis paper proposes a novel regularization approach to bias Convolutional Neural Networks (CNNs) toward utilizing edge and line features in their hidden layers. Rather than learning arbitrary kernels, we constrain the convolution layers to edge and line detection kernels.
arxiv +1 more source
A priori compression of convolutional neural networks for wave simulators [PDF]
arXiv, 2023 Convolutional neural networks are now seeing widespread use in a variety of fields, including image classification, facial and object recognition, medical imaging analysis, and many more. In addition, there are applications such as physics-informed simulators in which accurate forecasts in real time with a minimal lag are required.
arxiv
Efficient Dealiased Convolutions without Padding [PDF]
arXiv, 2010 Algorithms are developed for calculating dealiased linear convolution sums without the expense of conventional zero-padding or phase-shift techniques. For one-dimensional in-place convolutions, the memory requirements are identical with the zero-padding technique, with the important distinction that the additional work memory need not be contiguous ...
arxiv
Fully Convolutional Spatio-Temporal Models for Representation Learning in Plasma Science [PDF]
arXiv, 2020 We have trained a fully convolutional spatio-temporal model for fast and accurate representation learning in the challenging exemplar application area of fusion energy plasma science. The onset of major disruptions is a critically important fusion energy science (FES) issue that must be resolved for advanced tokamak.
arxiv
Music Generation Based on Convolution-LSTM
Computer and Information Science, 2018 In this paper, we propose a model that combines Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) for music generation. We first convert MIDI-format music file into a musical score matrix, and then establish convolution layers to ...
Yongjie Huang +2 more
semanticscholar +1 more source
Convolution, Separation and Concurrency [PDF]
arXiv, 2014 A notion of convolution is presented in the context of formal power series together with lifting constructions characterising algebras of such series, which usually are quantales. A number of examples underpin the universality of these constructions, the most prominent ones being separation logics, where convolution is separating conjunction in an ...
arxiv
A Fine-Grained Perspective on Approximating Subset Sum and Partition [PDF]
arXiv, 2019 Approximating Subset Sum is a classic and fundamental problem in computer science and mathematical optimization. The state-of-the-art approximation scheme for Subset Sum computes a $(1-\varepsilon)$-approximation in time $\tilde{O}(\min\{n/\varepsilon, n+1/\varepsilon^2\})$ [Gens, Levner'78, Kellerer et al.'97]. In particular, a $(1-1/n)$-approximation
arxiv
Signal Convolution Logic [PDF]
arXiv, 2018 We introduce a new logic called Signal Convolution Logic (SCL) that combines temporal logic with convolutional filters from digital signal processing. SCL enables to reason about the percentage of time a formula is satisfied in a bounded interval.
arxiv
Correction to: Convolution-augmented transformer network for hyperspectral image subspace clustering
Earth Science Informatics, 2023 Zhongbiao Zhang +5 more
semanticscholar +1 more source
Large Scale Evolution of Convolutional Neural Networks Using Volunteer Computing [PDF]
arXiv, 2017 This work presents a new algorithm called evolutionary exploration of augmenting convolutional topologies (EXACT), which is capable of evolving the structure of convolutional neural networks (CNNs). EXACT is in part modeled after the neuroevolution of augmenting topologies (NEAT) algorithm, with notable exceptions to allow it to scale to large scale ...
arxiv