48 citations · 48 across the 1 of their papers we have counts for
4 papers
Combining pretrained CNN feature extractors to enhance clustering of complex natural images
Joris Guerin, Stephane Thiery, Eric Nyiri +2
Recently, a common starting point for solving complex unsupervised image classification tasks is to use generic features, extracted with deep Convolutional Neural Networks (CNN) pr…
Semantically Meaningful View Selection
Joris Guérin, Olivier Gibaru, Eric Nyiri +2
An understanding of the nature of objects could help robots to solve both high-level abstract tasks and improve performance at lower-level concrete tasks. Although deep learning ha…
Unsupervised robotic sorting: Towards autonomous decision making robots
Joris Guérin, Stéphane Thiery, Eric Nyiri +1
Autonomous sorting is a crucial task in industrial robotics which can be very challenging depending on the expected amount of automation. Usually, to decide where to sort an object…
Clustering for Different Scales of Measurement - the Gap-Ratio Weighted K-means Algorithm
Joris Guérin, Olivier Gibaru, Stéphane Thiery +1
This paper describes a method for clustering data that are spread out over large regions and which dimensions are on different scales of measurement. Such an algorithm was develope…