Search Results for author: Raymond Veldhuis

Found 8 papers, 3 papers with code

Memory-free Online Change-point Detection: A Novel Neural Network Approach

1 code implementation8 Jul 2022 Zahra Atashgahi, Decebal Constantin Mocanu, Raymond Veldhuis, Mykola Pechenizkiy

We show that ALACPD, on average, ranks first among state-of-the-art CPD algorithms in terms of quality of the time series segmentation, and it is on par with the best performer in terms of the accuracy of the estimated change-points.

Change Point Detection Time Series +1

Worst-Case Morphs: a Theoretical and a Practical Approach

no code implementations30 Nov 2021 Una M. Kelly, Raymond Veldhuis, Luuk Spreeuwers

Face Recognition (FR) systems have been shown to be vulnerable to morphing attacks.

Face Recognition

A survey of face recognition techniques under occlusion

no code implementations19 Jun 2020 Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers

As a part of this review, we introduce face detection under occlusion, a preliminary step in face recognition.

Face Detection Face Recognition

A Brain-inspired Algorithm for Training Highly Sparse Neural Networks

2 code implementations17 Mar 2019 Zahra Atashgahi, Joost Pieterse, Shiwei Liu, Decebal Constantin Mocanu, Raymond Veldhuis, Mykola Pechenizkiy

Concretely, by exploiting the cosine similarity metric to measure the importance of the connections, our proposed method, Cosine similarity-based and Random Topology Exploration (CTRE), evolves the topology of sparse neural networks by adding the most important connections to the network without calculating dense gradient in the backward.

Learning Theory

Predicting Face Recognition Performance Using Image Quality

no code implementations24 Oct 2015 Abhishek Dutta, Raymond Veldhuis, Luuk Spreeuwers

This paper proposes a data driven model to predict the performance of a face recognition system based on image quality features.

Face Recognition

Can Facial Uniqueness be Inferred from Impostor Scores?

no code implementations23 Oct 2013 Abhishek Dutta, Raymond Veldhuis, Luuk Spreeuwers

In Biometrics, facial uniqueness is commonly inferred from impostor similarity scores.

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