Projects per year
Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
Layered manufacturing
Engineering & Materials Science
Layered Manufacturing
Mathematics
Discriminant analysis
Engineering & Materials Science
Intersection
Mathematics
Efficient Algorithms
Mathematics
Query
Mathematics
Range Searching
Mathematics
Geometric object
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2004 2019
II-New: Research Infrastructure for Big Spatial and Temp
Mokbel, M. F., Hecht, B. J., Janardan, R. & Shekhar, S.
7/1/15 → 6/30/19
Project: Research project
infrastructure
Layered manufacturing
India
Retrieval
Query
Research Output 1983 2018
New bounds for range closest-pair problems
Xue, J., Li, Y., Rahul, S. & Janardan, R., Jun 1 2018, 34th International Symposium on Computational Geometry, SoCG 2018. Toth, C. D. & Speckmann, B. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, Vol. 99. p. 731-7314 6584 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Data structures
On the separability of stochastic geometric objects, with applications
Xue, J., Li, Y. & Janardan, R., Oct 1 2018, In : Computational Geometry: Theory and Applications. 74, p. 1-20 20 p.Research output: Contribution to journal › Article
Geometric object
Separability
Margin
Computing
Model Uncertainty
On the arrangement of stochastic lines in R2
Li, Y., Xue, J., Agrawal, A. & Janardan, R., May 1 2017, In : Journal of Discrete Algorithms. 44, p. 1-20 20 p.Research output: Contribution to journal › Article
Arrangement
Line
Probability distributions
Likely
Subsequence
On the expected diameter, width, and complexity of a stochastic convex-hull
Xue, J., Li, Y. & Janardan, R., Jan 1 2017, Algorithms and Data Structures - 15th International Symposium, WADS 2017, Proceedings. Ellen, F., Kolokolova, A. & Sack, J-R. (eds.). Springer- Verlag, p. 581-592 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10389 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Approximation algorithms
Convex Hull
Polynomials
Combinatorial Complexity
Approximation Algorithms
On the separability of stochastic geometric objects, with applications
Xue, J., Li, Y. & Janardan, R., Jun 1 2016, 32nd International Symposium on Computational Geometry, SoCG 2016. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, Vol. 51. p. 62.1-62.16Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Hardness
Uncertainty