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Time-Varying Segmentation for Mapping of Land Cover Changes

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The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Fei Pu

In this thesis, we study systems of linear and/or non-linear stochastic heat equations and fractional heat equations in spatial dimension

1

driven by space-time white noise. The main topic is the study of hitting probabilities for the solutions to these ...

EPFL2018

Time-Varying Segmentation for Mapping of Land Cover Changes

Graph Chatbot

Chattez avec Graph Search

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

Geometry in active learning for binary and multi-class image segmentation

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Mean-Field methods for Structured Deep-Learning in Computer Vision

Measurement and determinants of consistency across key pro-environmental consumption behaviours in EPFL community

Large-Scale Image Segmentation with Convolutional Networks

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Mean-Field methods for Structured Deep-Learning in Computer Vision

Large-Scale Image Segmentation with Convolutional Networks

Geometry in active learning for binary and multi-class image segmentation

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

Measurement and determinants of consistency across key pro-environmental consumption behaviours in EPFL community