7 citations · 15 across the 7 of their papers we have counts for
8 papers
New penalized criteria for smooth non-negative tensor factorization with missing entries
Amaury Durand, François Roueff, Jean-Marc Jicquel +1
Tensor factorization models are widely used in many applied fields such as chemometrics, psychometrics, computer vision or communication networks. Real life data collection is ofte…
Duals of linearized Reed-Solomon codes
Xavier Caruso, Amaury Durand
We give a description of the duals of linearized Reed-Solomon codes in terms of codes obtained by taking residues of Ore rational functions. Our construction shows in particular th…
Smooth nonnegative tensor factorization for multi-sites electrical load monitoring
Amaury Durand, François Roueff, Jean-Marc Jicquel +1
The analysis of load curves collected from smart meters is a key step for many energy management tasks ranging from consumption forecasting to customers characterization and load m…
Hilbert valued fractionally integrated autoregressive moving average processes with long memory operators
Amaury Durand, François Roueff
Fractionally integrated autoregressive moving average (FIARMA) processes have been widely and successfully used to model and predict univariate time series exhibiting long range de…
Weakly stationary stochastic processes valued in a separable Hilbert space: Gramian-Cramér representations and applications
Amaury Durand, François Roueff
The spectral theory for weakly stationary processes valued in a separable Hilbert space has known renewed interest in the past decade. Here we follow earlier approaches which fully…
Reed-Solomon-Gabidulin Codes
Xavier Caruso, Amaury Durand
We introduce Reed-Solomon-Gabidulin codes which is, at the same time, an extension to Reed-Solomon codes on the one hand and Gabidulin codes on the other hand. We prove that our co…
The ACCompanion v0.1: An Expressive Accompaniment System
Carlos Cancino-Chacón, Martin Bonev, Amaury Durand +5
In this paper we present a preliminary version of the ACCompanion, an expressive accompaniment system for MIDI input. The system uses a probabilistic monophonic score follower to t…
Live Score Following on Sheet Music Images
Matthias Dorfer, Andreas Arzt, Sebastian Böck +2
In this demo we show a novel approach to score following. Instead of relying on some symbolic representation, we are using a multi-modal convolutional neural network to match the i…