Team

Brijnesh Jain

Dr. rer. nat.
Brijnesh JainTelefon - Brijnesh Jain +49 30 - 314-74150
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Forschungsschwerpunkte

Aktuelle Projektbeteiligung


Publikationen

2018

The Mean Partition Theorem in Consensus Clustering
Brijnesh Jain
In: Pattern Recognition (accepted); 2018

Asymmetric learning vector quantization for efficient nearest neighbor classification in dynamic time warping spaces
Brijnesh Jain, David Schultz
In: Pattern Recognition, Volume 76, April 2018, Pages 349-366; 2018

Exact Mean Computation in Dynamic Time Warping Spaces
Markus Brill, Till Fluschnik, Vincent Froese,Brijnesh Jain, Rolf Niedermeier, David Schultz
In: SIAM International Conference on Data Mining (in press); 2018

Gamification in E-Commerce: Tangible vs. Intangible Rewards
Michael Meder, Till Plumbaum, Aleksander Raczkowski, Brijnesh Jain, Sahin Albayrak
In: Proceedings of the 22nd International Academic Mindtrek Conference; 2018

Condorcet’s Jury Theorem for Consensus Clustering
Brijnesh Jain
In: Proceedings of the 41st German Conference on AI, Berlin, Germany; 2018

Semi-Metrification of the Dynamic Time Warping Distance
Brijnesh Jain
In: arXiv:1808.09964; 2018

2017

Warped-Linear Models for Time Series Classification
Brijnesh Jain
In: arXiv preprint arXiv:1711.09156; 2017

Consistency of mean partitions in consensus clustering
Brijnesh Jain
In: Pattern Recognition, Volume 71, November 2017, Pages 26-35; 2017

Optimal Warping Paths are unique for almost every pair of Time Series
Brijnesh Jain, David Schultz
In: arXiv preprint arXiv:1705.05681; 2017

2016

Statistical Graph Space Analysis
Brijnesh Jain
In: Pattern Recognition, Volume 60, December 2016, Pages 802-812; 2016

On the geometry of graph spaces
Brijnesh Jain
In: Discrete Applied Mathematics, Volume 214, 11 December 2016, Pages 126-144; 2016

A Reduction Theorem for the Sample Mean in Dynamic Time Warping Spaces
Brijnesh Jain, David Schultz
In: arXiv preprint arXiv:1610.04460; 2016

Condorcet's Jury Theorem for Consensus Clustering and its Implications for Diversity
Brijnesh Jain
In: arXiv preprint arXiv:1604.07711; 2016