However, and despite the 2-dimensional nature of music notation (e.g. notes have rhythm and pitch), most works treat musical scores as a sequence of symbols in one dimension, which make their recognition still a challenge. Thus, in this work we explore the use of graph neural networks ...
[10]Li Z, Zhao Y, Li Y,et al.Demonstration of Fault Localization in Optical Networks Based on Knowledge Graph and Graph Neural Network[C]//Optical Fiber Communication Conference(OFC).2020. [11]Babbar J, Triki A, Ayassi R,et al.Machine learning models for alarm classification and failure ...
Using trained graph neural network, we searched for novel materials with high Δnin the Materials Project database and discovered two new DUV birefringent candidates: NaYCO3F2and SClO2F, with high Δnvalues of 0.202 and 0.101 at 1064 nm, respectively. Further analysis reveals that strongly ...
Propagation of the complex optical amplitude through the network is carried out by a computational graph mimicking the physical network architecture. At each wavelength, the optical transformation carried out by the mesh of interferometers between N input channels and N output channels is represented by...
When the pump power is increased gradually, the machine finds one of three degenerate ground states of this complete graph with equal probabilities as shown in Fig. 8a. On the other hand, if the Ising coupling is switched-off, the machine randomly picks 1 of the 8 states by spontaneous ...
A neural network model of multiple-scale binocular fusion and rivalry in visual cortex is described and simulated on the computer. The model consists of th... S Grossberg,JA Marshall - 《Neural Networks》 被引量: 264发表: 1989年 Graph Matching Iris Image Blocks with Local Binary Pattern Iris...
The Graph Neural Network model is a connectionist model, capable... A Barcz,Z Szymański,S Jankowski - Proceedings of SPIE - The International Society for Optical Engineering 被引量: 0发表: 2013年 Optical implementation of the Hopfield model This article summarises the results of implementation ...
[22] V. Kolmogorov and R. Zabih. Computing visual correspondence with occlusions via graph cuts. Technical report, Cornell University, 2001. [35] D. Scharstein and R. Szeliski. Ataxonomyand evaluation of dense two-frame stereo correspondence algorithms. IJCV , 47(1-3):7–42, 2002. ...
Convolutional neural networks (CNNs) excel in a wide variety of computer vision applications, but their high performance also comes at a high computational cost. Despite efforts to increase efficiency both algorithmically and with specialized hardware, i
An interpretable transformer network for the retinal disease classification using optical coherence tomography Article Open access 03 March 2023 Automated Retinal Layer Segmentation Using Graph-based Algorithm Incorporating Deep-learning-derived Information Article Open access 12 June 2020 Introduction...