Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Sandha, Sandeep"'
Existing approaches for autonomous control of pan-tilt-zoom (PTZ) cameras use multiple stages where object detection and localization are performed separately from the control of the PTZ mechanisms. These approaches require manual labels and suffer f
Externí odkaz:
http://arxiv.org/abs/2304.04356
Publikováno v:
IEEE Sensors Journal, vol. 22, no. 22, pp. 21362-21390, 15 Nov., 2022
The advancements in machine learning opened a new opportunity to bring intelligence to the low-end Internet-of-Things nodes such as microcontrollers. Conventional machine learning deployment has high memory and compute footprint hindering their direc
Externí odkaz:
http://arxiv.org/abs/2205.14550
Autor:
Ho, Bo-Jhang, Balaji, Bharathan, Koseoglu, Mehmet, Sandha, Sandeep, Pei, Siyou, Srivastava, Mani
Human attention is a scarce resource in modern computing. A multitude of microtasks vie for user attention to crowdsource information, perform momentary assessments, personalize services, and execute actions with a single touch. A lot gets done when
Externí odkaz:
http://arxiv.org/abs/2007.09515
Tuning hyperparameters for machine learning algorithms is a tedious task, one that is typically done manually. To enable automated hyperparameter tuning, recent works have started to use techniques based on Bayesian optimization. However, to practica
Externí odkaz:
http://arxiv.org/abs/2005.11394
Autor:
Sandha, Sandeep Singh
Cities are a big source of spatio-temporal data that is shared across entities to drive potential use cases. Many of the Spatio-temporal datasets are confidential and are selectively shared. To allow selective sharing, several access control models e
Externí odkaz:
http://arxiv.org/abs/1711.03955
Log Query Interface is an interactive web application that allows users to query the very large data logs of MobileInsight easily and efficiently. With this interface, users no longer need to talk to the database through command line queries, nor to
Externí odkaz:
http://arxiv.org/abs/1709.08001
In this paper, we develop a scalable system which can do real-time analytics for different health applications. The occurrence of different health conditions can be regarded as the complex events and thus this concept can be extended to other use cas
Externí odkaz:
http://arxiv.org/abs/1707.04364
We demonstrate a novel mobile application called GangaWatch that makes water pollution data usable and accessible focusing on one of the most polluted river basins in the world. It is intended to engage common public who want to see water condition a
Externí odkaz:
http://arxiv.org/abs/1701.08212
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