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2020 – today
- 2024
[j5]Maximilian Leodolter
, Claudia Plant, Norbert Brändle:
Rotation invariant GPS trajectory mining. GeoInformatica 28(1): 89-115 (2024)- 2021
- [j4]Maximilian Leodolter, Claudia Plant, Norbert Brändle:
IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping. J. Stat. Softw. 99(9) (2021) - 2020
- [c27]Peter Widhalm, Philipp Merz, Liviu Coconu, Norbert Brändle:
Tackling the SHL recognition challenge with phone position detection and nearest neighbour smoothing. UbiComp/ISWC Adjunct 2020: 359-363 - [c26]Anita Graser, Melitta Dragaschnig, Peter Widhalm, Hannes Koller, Norbert Brändle:
Exploratory Trajectory Analysis for Massive Historical AIS Datasets. MDM 2020: 252-257
2010 – 2019
- 2019
- [j3]Anita Graser, Johanna Schmidt, Florian Roth, Norbert Brändle:
Untangling origin-destination flows in geographic information systems. Inf. Vis. 18(1) (2019) - [j2]Johanna Schmidt, Dominik Fleischmann, Bernhard Preim, Norbert Brändle, Gabriel Mistelbauer:
Popup-Plots: Warping Temporal Data Visualization. IEEE Trans. Vis. Comput. Graph. 25(7): 2443-2457 (2019) - [c25]Peter Widhalm, Maximilian Leodolter, Norbert Brändle:
Ensemble-based domain adaptation for transport mode recognition with mobile sensors. UbiComp/ISWC Adjunct 2019: 857-861 - [p1]Peter Widhalm, Maximilian Leodolter, Norbert Brändle:
Into the Wild - Avoiding Pitfalls in the Evaluation of Travel Activity Classifiers. Human Activity Sensing 2019: 197-211 - 2018
- [c24]Peter Widhalm, Maximilian Leodolter, Norbert Brändle:
Top in the Lab, Flop in the Field?: Evaluation of a Sensor-based Travel Activity Classifier with the SHL Dataset. UbiComp/ISWC Adjunct 2018: 1479-1487 - [c23]Maximilian Leodolter, Norbert Brändle, Claudia Plant:
Automatic Detection of Warped Patterns in Time Series: The Caterpillar Algorithm. ICBK 2018: 423-431 - 2017
- [c22]Maximilian Leodolter, Peter Widhalm, Claudia Plant, Norbert Brändle:
Semi-supervised segmentation of accelerometer time series for transport mode classification. MT-ITS 2017: 663-668 - 2016
- [c21]Michael Ulm, Norbert Brändle:
Learning tubes. ICPR 2016: 3655-3660 - 2012
- [c20]Peter Widhalm, Philippe Nitsche, Norbert Brändle:
Transport mode detection with realistic Smartphone sensor data. ICPR 2012: 573-576 - [c19]Michael Ulm, Norbert Brändle:
Robust online trajectory clustering without computing trajectory distances. ICPR 2012: 2270-2273 - [c18]Anita Graser, Wolfgang Ponweiser, Melitta Dragaschnig, Norbert Brändle, Peter Widhalm:
Assessing traffic performance using position density of sparse FCD. ITSC 2012: 1001-1005 - [c17]Peter Widhalm, Markus Piff, Norbert Brändle, Hannes Koller, Martin Reinthaler:
Robust road link speed estimates for sparse or missing probe vehicle data. ITSC 2012: 1693-1697 - [i1]Stefan Seer, Norbert Brändle, Carlo Ratti:
Kinects and Human Kinetics: A New Approach for Studying Crowd Behavior. CoRR abs/1210.2838 (2012) - 2011
- [c16]Peter M. Roth, Volker Settgast, Peter Widhalm, Marcel Lancelle, Josef A. Birchbauer, Norbert Brändle, Sven Havemann, Horst Bischof:
Next-generation 3D visualization for visual surveillance. AVSS 2011: 343-348 - 2010
- [c15]Ahmed Nabil Belbachir, Stephan Schraml, Norbert Brändle:
Real-time classification of pedestrians and cyclists for intelligent counting of non-motorized traffic. CVPR Workshops 2010: 45-50 - [c14]Stephan Schraml, Ahmed Nabil Belbachir, Norbert Brändle:
A real-time pedestrian classification method for event-based dynamic stereo vision. CVPR Workshops 2010: 93-99 - [c13]Peter Widhalm, Norbert Brändle:
Learning Major Pedestrian Flows in Crowded Scenes. ICPR 2010: 4064-4067
2000 – 2009
- 2009
- [c12]Oliver Sidla, Norbert Brändle, Wanda Benesova, Marcin Rosner, Yuriy Lypetskyy:
Towards complex visual surveillance algorithms on smart cameras. ICCV Workshops 2009: 847-853 - [c11]Alexandra Millonig, Norbert Brändle, Markus Ray, Dietmar Bauer, Stefan van der Spek:
Pedestrian Behaviour Monitoring: Methods and Experiences. BMI Book 2009: 11-42 - 2008
- [c10]Günther Eibl, Norbert Brändle:
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes. ICPR 2008: 1-4 - [c9]Stefan Seer, Dietmar Bauer, Norbert Brändle, Markus Ray:
Estimating Pedestrian Movement Characteristics for Crowd Control at Public Transport Facilities. ITSC 2008: 742-747 - [c8]Dietmar Bauer, Markus Ray, Norbert Brändle, Helmut Schrom-Feiertag:
On extracting commuter information from GPS motion data. MobiQuitous 2008 - 2007
- [c7]Dietmar Bauer, Stefan Seer, Norbert Brändle:
Macroscopic pedestrian flow simulation for designing crowd control measures in public transport after special events. SCSC 2007: 1035-1042 - 2006
- [c6]Oliver Sidla, Yuriy Lypetskyy, Norbert Brändle, Stefan Seer:
Pedestrian Detection and Tracking for Counting Applications in Crowded Situations. AVSS 2006: 70 - [c5]Dietmar Bauer, Norbert Brändle, Stefan Seer, Roman P. Pflugfelder:
Finding Highly Frequented Paths in Video Sequences. ICPR (1) 2006: 387-391 - [c4]Norbert Brändle, Dietmar Bauer, Stefan Seer:
Track-Based Finding of Stopping Pedestrians - A Practical Approach for Analyzing a Public Infrastructure. ITSC 2006: 115-120 - 2003
- [j1]Norbert Brändle, Horst Bischof, Hilmar Lapp:
Robust DNA microarray image analysis. Mach. Vis. Appl. 15(1): 11-28 (2003) - 2000
- [c3]Horng-Yang Chen, Norbert Brändle, Horst Bischof, Hilmar Lapp:
Robust Spot Fitting for Genetic Spot Array Images. ICIP 2000: 412-415 - [c2]Norbert Brändle, Horng-Yang Chen, Horst Bischof, Hilmar Lapp:
Robust Parametric and Semi-Parametric Spot Fitting for Spot Array Images. ISMB 2000: 46-56
1990 – 1999
- 1999
- [c1]Norbert Brändle, Hilmar Lapp, Horst Bischof:
Automatic Grid Fitting for Genetic Spot Array Images Containing Guide Spots. CAIP 1999: 357-366
Coauthor Index
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last updated on 2024-05-08 20:57 CEST by the dblp team
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