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pro vyhledávání: '"Nishith Tirpankar"'
Autor:
Hari Sundar, Nishith Tirpankar
Publikováno v:
HPEC
The pattern of computations of graph algorithms makes them difficult to parallelize. They suffer from erratic data access patterns. We propose a set of algorithmic patterns that enable users to take advantage of fine grained parallelism provided by m
Autor:
Nishith Tirpankar, Wenyi Wang, Thomas C. Henderson, Philip Erickson, Palani Thangaraj, Anshul Joshi, Michael Cline
Publikováno v:
ICCS
The Bayesian Computational Sensor Network methodology is applied to small-scale structural health monitoring. A mobile robot, equipped with vision and ultrasound sensors, maps small-scale structures for damage (e.g., holes, cracks) by localizing itse
Publikováno v:
MFI
Efficiently monitoring environmental conditions across large indoor spaces (such as warehouses, factories or data centers) is an important problem with many applications. Deployment of a sensor network across the space can provide very precise readin
Autor:
Monica Nicolescu, Rakhi C. Motwani, Nishith Tirpankar, Frederick C. Harris, Mukesh C. Motwani
Publikováno v:
ICSAP
The environment in which video motion needs to be tracked, places several constraints on the design of the tracking system. Current datasets which are used to evaluate and compare video motion tracking algorithms use a cumulative performance measure