Search Results for author:
Found 5 papers, 2 papers with code
Automatic travel pattern extraction from visa page stamps using CNN models
Manual travel pattern inference from visa page stamps is a time consuming activity and constitutes an important bottleneck in the efficiency of traveler inspection at border crossings.
Training Deep Spiking Neural Networks
Computation using brain-inspired spiking neural networks (SNNs) with neuromorphic hardware may offer orders of magnitude higher energy efficiency compared to the current analog neural networks (ANNs).
Differential equations as models of deep neural networks
In this work we systematically analyze general properties of differential equations used as machine learning models.
Order book model with herd behavior exhibiting long-range memory
We also show that the fracture in the spectral density of the high-frequency absolute return time series might be related to the mechanism of convergence towards the equilibrium price.
Nonlinear GARCH model and 1/f noise
We investigate the possibility to reproduce power law statistics, probability density function and power spectral density, using ARCH family models.
