Search Results for author: François Petitjean

Found 7 papers, 6 papers with code

Computing Divergences between Discrete Decomposable Models

no code implementations8 Dec 2021 Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb

We show that we are able to compute a wide family of functionals and divergences, such as the alpha-beta divergence, between two decomposable models, i. e. chordal Markov networks, in time exponential to the treewidth of these models.

A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping

1 code implementation25 May 2020 Benjamin Lucas, Charlotte Pelletier, Daniel Schmidt, Geoffrey I. Webb, François Petitjean

In this paper we present Sourcerer, a Bayesian-inspired, deep learning-based, semi-supervised DA technique for producing land cover maps from SITS data.

Domain Adaptation Management +2

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

6 code implementations29 Oct 2019 Angus Dempster, François Petitjean, Geoffrey I. Webb

Most methods for time series classification that attain state-of-the-art accuracy have high computational complexity, requiring significant training time even for smaller datasets, and are intractable for larger datasets.

General Classification Time Series +2

Automatic alignment of surgical videos using kinematic data

1 code implementation3 Apr 2019 Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, François Petitjean, Lhassane Idoumghar, Pierre-Alain Muller

Over the past one hundred years, the classic teaching methodology of "see one, do one, teach one" has governed the surgical education systems worldwide.

Dynamic Time Warping Time Series +1

Understanding Concept Drift

1 code implementation2 Apr 2017 Geoffrey I. Webb, Loong Kuan Lee, François Petitjean, Bart Goethals

Concept drift is a major issue that greatly affects the accuracy and reliability of many real-world applications of machine learning.

BIG-bench Machine Learning

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