Manohar Kaul
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Stochastic skyline route planning under time-varying uncertainty
B Yang, C Guo, CS Jensen, M Kaul, S Shang
2014 IEEE 30th International Conference on Data Engineering, 136-147, 2014
982014
Using incomplete information for complete weight annotation of road networks
B Yang, M Kaul, CS Jensen
IEEE Transactions on Knowledge and Data Engineering 26 (5), 1267-1279, 2013
662013
Ecomark: evaluating models of vehicular environmental impact
C Guo, Y Ma, B Yang, CS Jensen, M Kaul
Proceedings of the 20th International Conference on Advances in Geographic …, 2012
652012
Building accurate 3d spatial networks to enable next generation intelligent transportation systems
M Kaul, B Yang, CS Jensen
2013 IEEE 14th International Conference on Mobile Data Management 1, 137-146, 2013
612013
R-Apriori: an efficient apriori based algorithm on spark
S Rathee, M Kaul, A Kashyap
Proceedings of the 8th Workshop on Ph. D. Workshop in Information and …, 2015
572015
Learning attention-based embeddings for relation prediction in knowledge graphs
D Nathani, J Chauhan, C Sharma, M Kaul
arXiv preprint arXiv:1906.01195, 2019
542019
Embodied communications between humans and robots emerging from entrained gestures
T Ono, T Kanda, M Imai, H Ishiguro
Proceedings 2003 IEEE International Symposium on Computational Intelligence …, 2003
212003
Frequent route based continuous moving object location-and density prediction on road networks
G Gidófalvi, C Borgelt, M Kaul, TB Pedersen
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances …, 2011
182011
Frequent route based continuous moving object location-and density prediction on road networks
G Gidófalvi, C Borgelt, M Kaul, TB Pedersen
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances …, 2011
182011
Multi-cost optimal route planning under time-varying uncertainty
B Yang, C Guo, CS Jensen, M Kaul, S Shang
Proceedings of the 30th International Conference on Data Engineering (ICDE …, 2014
172014
Efficient fault-tolerance for iterative graph processing on distributed dataflow systems
C Xu, M Holzemer, M Kaul, V Markl
2016 IEEE 32nd International Conference on Data Engineering (ICDE), 613-624, 2016
112016
Finding shortest paths on terrains by killing two birds with one stone
M Kaul, RCW Wong, B Yang, CS Jensen
Proceedings of the VLDB Endowment 7 (1), 73-84, 2013
92013
On fault tolerance for distributed iterative dataflow processing
C Xu, M Holzemer, M Kaul, J Soto, V Markl
IEEE Transactions on Knowledge and Data Engineering 29 (8), 1709-1722, 2017
52017
Intelligent packet shaper to avoid network congestion for improved streaming video quality at clients
M Kaul, R Khosla, Y Mitsukura
Proceedings 2003 IEEE International Symposium on Computational Intelligence …, 2003
52003
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures
J Chauhan, D Nathani, M Kaul
arXiv preprint arXiv:2002.12815, 2020
42020
Understanding and predicting links in graphs: A persistent homology perspective
S Bhatia, B Chatterjee, D Nathani, M Kaul
arXiv preprint arXiv:1811.04049, 2018
42018
Improving data quality by leveraging statistical relational learning
L Visengeriyeva, A Akbik, M Kaul, T Rabl, V Markl
32016
A persistent homology perspective to the link prediction problem
S Bhatia, B Chatterjee, D Nathani, M Kaul
International Conference on Complex Networks and Their Applications, 27-39, 2019
12019
Solving partial assignment problems using random clique complexes
C Sharma, D Nathani, M Kaul
International Conference on Machine Learning, 4586-4595, 2018
12018
Sharing hash codes for multiple purposes
W Pronobis, D Panknin, J Kirschnick, V Srinivasan, W Samek, V Markl, ...
Japanese Journal of Statistics and Data Science 1 (1), 215-246, 2018
12018
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Artiklar 1–20