Publications related to Time series

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Exact Smooth Term-Structure Estimation

Damir Filipovic, Sander Félix M Willems

We present a nonparametric method to estimate the discount curve from market quotes based on the Moore-Penrose pseudoinverse. The discount curve reproduces the market quotes perfectly, has maximal smoothness, and is given in closed-form. The method is easy ...

SIAM PUBLICATIONS2018

On-the-fly ab initio semiclassical evaluation of time-resolved electronic spectra

Jiri Vanicek, Tomislav Begusic, Julien Roulet

We present a methodology for computing vibrationally and time-resolved pump-probe spectra, which takes into account all vibrational degrees of freedom and is based on the combination of the thawed Gaussian approximation with on-the-fly ab initio evaluation ...

AMER INST PHYSICS2018

Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series

Karl Aberer, Philippe Cudré-Mauroux, Julia Proskurnia, Carlos Castillo

Applying classical time-series analysis techniques to online content is challenging, as web data tends to have data quality issues and is often incomplete, noisy, or poorly aligned. In this paper, we tackle the problem of predicting the evolution of a time ...

A Solution for the Partitioning Problem in Partition-Based Moving-Horizon Estimation

René Uwe Schneider

In addition to being observable, systems composed of interconnected subsystems must typically exhibit a particular subsystem structure, if their state is to be estimated successfully by a partition-based moving horizon estimator (PMHE). Suitable subsystem ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Dong Liu

Brain-machine interfaces (BMIs) have been applied as new rehabilitation tools for motor disabled individuals. Active involvement of cerebral activity has been shown to enhance neuroplasticity and thus to restore mobility. Various studies have focused on th ...

Frontiers Research Foundation2017

Subspace Regularized Dynamic Time Warping for Spoken Query Detection

Hervé Bourlard, Afsaneh Asaei, Dhananjay Ram

Deep neural network posterior probabilities are the best features for query detection in speech archives. Dynamic time warping (DTW) is the state-of-the-art solution for this task. Posterior features live in low-dimensional subspaces whereas, the current D ...

2017

Stationary signal processing on graphs

Pierre Vandergheynst, Nathanaël Perraudin

Graphs are a central tool in machine learning and information processing as they allow to conveniently capture the structure of complex datasets. In this context, it is of high importance to develop flexible models of signals defined over graphs or network ...

Institute of Electrical and Electronics Engineers2017

Filtering Random Graph Processes Over Random Time-Varying Graphs

Andreas Loukas

Graph filters play a key role in processing the graph spectra of signals supported on the vertices of a graph. However, despite their widespread use, graph filters have been analyzed only in the deterministic setting, ignoring the impact of stochasticity i ...

Institute of Electrical and Electronics Engineers2017

Time series

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Exact Smooth Term-Structure Estimation

On-the-fly ab initio semiclassical evaluation of time-resolved electronic spectra

Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series

A Solution for the Partitioning Problem in Partition-Based Moving-Horizon Estimation

Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors

Distributed Time Series Analytics

Subspace Regularized Dynamic Time Warping for Spoken Query Detection

Stationary signal processing on graphs

Hybrid Neural Networks for Learning the Trend in Time Series

Filtering Random Graph Processes Over Random Time-Varying Graphs

Exact Smooth Term-Structure Estimation

Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series

On-the-fly ab initio semiclassical evaluation of time-resolved electronic spectra

A Solution for the Partitioning Problem in Partition-Based Moving-Horizon Estimation

Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors

Distributed Time Series Analytics

Subspace Regularized Dynamic Time Warping for Spoken Query Detection

Stationary signal processing on graphs

Hybrid Neural Networks for Learning the Trend in Time Series

Filtering Random Graph Processes Over Random Time-Varying Graphs