Search Results for author:
Found 8 papers, 6 papers with code
ASTRIDE: Adaptive Symbolization for Time Series Databases
We introduce ASTRIDE (Adaptive Symbolization for Time seRIes DatabasEs), a novel symbolic representation of time series, along with its accelerated variant FASTRIDE (Fast ASTRIDE).
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding
The analysis of the Nystagmus waveforms from eye-tracking records is crucial for the clinicial interpretation of this pathological movement.
Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis
Recently, there has been growing interest in the analysis of spectrograms of ElectroEncephaloGram (EEG), particularly to study the neural correlates of (un)-consciousness during General Anesthesia (GA).
Multivariate Convolutional Sparse Coding with Low Rank Tensor
This paper introduces a new multivariate convolutional sparse coding based on tensor algebra with a general model enforcing both element-wise sparsity and low-rankness of the activations tensors.
DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding
In this paper, we introduce DICOD, a convolutional sparse coding algorithm which builds shift invariant representations for long signals.
ruptures: change point detection in Python
ruptures is a Python library for offline change point detection.
Computation Mathematical Software
Selective review of offline change point detection methods
This article presents a selective survey of algorithms for the offline detection of multiple change points in multivariate time series.
Computational Engineering, Finance, and Science Methodology
DICOD: Distributed Convolutional Sparse Coding
In this paper, we introduce DICOD, a convolutional sparse coding algorithm which builds shift invariant representations for long signals.
