Anindya Sao Paul

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 13 citations into it; #25,496 of 35,345 by trust here, #33,294 by citations
Electrical and Electronic Engineering — 12 citations into it; #9,754 of 16,539 by trust here, #15,621 by citations
Aerospace Engineering — 11 citations into it
Computer Networks and Communications — 7 citations into it; #6,791 of 9,886 by trust here, #9,214 by citations

Their strongest outbound trust, strongest first, inferred from their citations.

Ordered by how strongly the researchers Anindya Sao Paul trusts endorse each paper. Same corpus, a different order for every researcher.

RADAR: an in-building RF-based user location and tracking system (Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064))
A Probabilistic Approach to WLAN User Location Estimation (Int. J. Wirel. Inf. Networks)
Robotics-Based Location Sensing Using Wireless Ethernet
Particle filters for positioning, navigation, and tracking (IEEE Transactions on Signal Processing)
Bayesian Filtering for Location Estimation (IEEE pervasive computing)
The square-root unscented Kalman filter for state and parameter-estimation (2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221))
Accuracy characterization for metropolitan-scale Wi-Fi localization (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
The Horus WLAN location determination system (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
Super-resolution TOA estimation with diversity for indoor geolocation (IEEE Transactions on Wireless Communications)
The unscented Kalman filter for nonlinear estimation