activity
20202024
most citedHierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data

Lukas Heine, Fabian Hörst, Jana Fragemann +6

In industries such as healthcare, finance, and manufacturing, analysis of unstructured textual data presents significant challenges for analysis and decision making. Uncovering pat…

cs.LG2024

Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?

M. Saquib Sarfraz, Mei-Yen Chen, Lukas Layer +2

The current state of machine learning scholarship in Timeseries Anomaly Detection (TAD) is plagued by the persistent use of flawed evaluation metrics, inconsistent benchmarking pra…

cs.CV2023★ 1 cited

Towards Activated Muscle Group Estimation in the Wild

Kunyu Peng, David Schneider, Alina Roitberg +6

In this paper, we tackle the new task of video-based Activated Muscle Group Estimation (AMGE) aiming at identifying active muscle regions during physical activity in the wild. To t…

cs.CV2022★ 1 cited

Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction

M. Saquib Sarfraz, Marios Koulakis, Constantin Seibold +1

Dimensionality reduction is crucial both for visualization and preprocessing high dimensional data for machine learning. We introduce a novel method based on a hierarchy built on 1…

cs.LG2020

An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies

Rony Chowdhury Ripan, Iqbal H. Sarker, Md Musfique Anwar +4

Cybersecurity has recently gained considerable interest in today's security issues because of the popularity of the Internet-of-Things (IoT), the considerable growth of mobile netw…