Thomas Ortner
Dipl.-Ing. Dr. — Position: Weiterer Mitarbeiter
Contact
| thomas.ortner@tuwien.ac.at | |
| Office Hours | By Appointment |
2018
| Guided projections for analyzing the structure of high-dimensional data A powerful data transformation method named guided projections is proposed creating new possibilities to reveal the group structure of… | T. Ortner, P. Filzmoser, M. Rohm, C. Breiteneder, S. Brodinova | Details |
2017
| Finding groups in large and high-dimensional data using a k-means-based algorithm S. Brodinova, P. Filzmoser, T. Ortner, C. Breiteneder, M. Zaharieva: "Finding groups in large and high-dimensional data using a k-means-based… | S. Brodinova, P. Filzmoser, T. Ortner, C. Breiteneder, M. Zaharieva | Details |
| Robust and sparse clustering for high-dimensional data We introduce a robust and sparse clustering procedure for high-dimensional data. The robustness aspect is addressed by a weighting function… | S. Brodinova, P. Filzmoser, T. Ortner, M. Zaharieva, C. Breiteneder | Details |
| Grouping and outlier detection using robust sparse clustering S. Brodinova, P. Filzmoser, T. Ortner, M. Zaharieva, C. Breiteneder: "Grouping and outlier detection using robust sparse clustering"; Talk: Olomouc… | S. Brodinova, P. Filzmoser, T. Ortner, M. Zaharieva, C. Breiteneder | Details |
| Local projection for outlier detection T. Ortner, P. Filzmoser, S. Brodinova, M. Zaharieva, C. Breiteneder: "Local projection for outlier detection"; Talk: Olomouc Days of Applied… | T. Ortner, P. Filzmoser, S. Brodinova, M. Zaharieva, C. Breiteneder | Details |
| Clustering of imbalanced high-dimensional media data S. Brodinova, M. Zaharieva, P. Filzmoser, T. Ortner, C. Breiteneder: "Clustering of imbalanced high-dimensional media data"; Advances in Data… | S. Brodinova, M. Zaharieva, P. Filzmoser, T. Ortner, C. Breiteneder | Details |
2016
| Guided projections for analysising the structure of high dimensional data T. Ortner, P. Filzmoser, M. Zaharieva, C. Breiteneder, S. Brodinova: "Guided projections for analysising the structure of high dimensional data";… | T. Ortner, P. Filzmoser, M. Zaharieva, C. Breiteneder, S. Brodinova | Details |
| Forward Projection for High-Dimensional Data We provide a novel view on group structure in data. Projecting observations onto a subspace spanned by a small selection of observations, we… | T. Ortner, P. Filzmoser, S. Brodinova, M. Zaharieva, C. Breiteneder | Details |
| Group Detection in the Context of Imbalanced Data The problem of group detection with no prior knowledge, i.e clustering, is one of the most important tasks in data analysis. It has been addressed in… | S. Brodinova, M. Zaharieva, P. Filzmoser, T. Ortner, C. Breiteneder | Details |
| Evaluation of robust PCA for supervised audio outlier detection Outliers often reveal crucial information about the underlying data such as the presence of unusual observations that require for in-depth analysis.… | S. Brodinova, T. Ortner, P. Filzmoser, M. Zaharieva, C. Breiteneder | Details |
2015
| Simulation of Robust PCA for Supervised Audio Outlier Detection S. Brodinova, T. Ortner, P. Filzmoser, M. Zaharieva, C. Breiteneder: "Simulation of Robust PCA for Supervised Audio Outlier Detection"; Talk:… | S. Brodinova, T. Ortner, P. Filzmoser, M. Zaharieva, C. Breiteneder | Details |
| Evaluation of Robust PCA for Supervised Audio Outlier Detection Outliers often reveal crucial information about the underlying data such as the presence of unusual observations that require for in-depth analysis.… | S. Brodinova, T. Ortner, P. Filzmoser, M. Zaharieva, C. Breiteneder | Details |