23 citations · 72 across the 13 of their papers we have counts for
6 papers · 1 filter
AWT -- Clustering Meteorological Time Series Using an Aggregated Wavelet Tree
Christina Pacher, Irene Schicker, Rosmarie deWit +2
Both clustering and outlier detection play an important role for meteorological measurements. We present the AWT algorithm, a clustering algorithm for time series data that also pe…
Multi-view Graph Convolutional Networks with Differentiable Node Selection
Zhaoliang Chen, Lele Fu, Shunxin Xiao +3
Multi-view data containing complementary and consensus information can facilitate representation learning by exploiting the intact integration of multi-view features. Because most…
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning
Zhaoliang Chen, Lele Fu, Jie Yao +3
In practical applications, multi-view data depicting objectives from assorted perspectives can facilitate the accuracy increase of learning algorithms. However, given multi-view da…
Deep Clustering With Consensus Representations
Lukas Miklautz, Martin Teuffenbach, Pascal Weber +4
The field of deep clustering combines deep learning and clustering to learn representations that improve both the learned representation and the performance of the considered clust…
Causal Discovery in Hawkes Processes by Minimum Description Length
Amirkasra Jalaldoust, Katerina Hlavackova-Schindler, Claudia Plant
Hawkes processes are a special class of temporal point processes which exhibit a natural notion of causality, as occurrence of events in the past may increase the probability of ev…
Interpretable Gait Recognition by Granger Causality
Michal Balazia, Katerina Hlavackova-Schindler, Petr Sojka +1
Which joint interactions in the human gait cycle can be used as biometric characteristics? Most current methods on gait recognition suffer from the lack of interpretability. We pro…