9 citations · 12 across the 4 of their papers we have counts for
4 papers
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier
Bartosz Wójcik, Jacek Grela, Marek Śmieja +2
Deep neural networks present impressive performance, yet they cannot reliably estimate their predictive confidence, limiting their applicability in high-risk domains. We show that…
Introduction to Cross-Entropy Clustering The R Package CEC
Jacek Tabor, Przemysław Spurek, Konrad Kamieniecki +2
The R Package CEC performs clustering based on the cross-entropy clustering (CEC) method, which was recently developed with the use of information theory. The main advantage of CEC…
Detection of elliptical shapes via cross-entropy clustering
Jacek Tabor, Krzysztof Misztal
The problem of finding elliptical shapes in an image will be considered. We discuss the solution which uses cross-entropy clustering. The proposed method allows the search for elli…
k-means Approach to the Karhunen-Loeve Transform
Krzysztof Misztal, Przemyslaw Spurek, Jacek Tabor
We present a simultaneous generalization of the well-known Karhunen-Loeve (PCA) and k-means algorithms. The basic idea lies in approximating the data with k affine subspaces of a g…