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pro vyhledávání: '"Sinha, Kaushik"'
Autor:
Ram, Parikshit, Sinha, Kaushik
The mathematical formalization of a neurological mechanism in the olfactory circuit of a fruit-fly as a locality sensitive hash (Flyhash) and bloom filter (FBF) has been recently proposed and "reprogrammed" for various machine learning tasks such as
Externí odkaz:
http://arxiv.org/abs/2112.07157
Autor:
Sinha, Kaushik, Ram, Parikshit
Inspired by the fruit-fly olfactory circuit, the Fly Bloom Filter [Dasgupta et al., 2018] is able to efficiently summarize the data with a single pass and has been used for novelty detection. We propose a new classifier (for binary and multi-class cl
Externí odkaz:
http://arxiv.org/abs/2008.08685
Traditionally, there have been few options for navigational aids for the blind and visually impaired (BVI) in large indoor spaces. Some recent indoor navigation systems allow users equipped with smartphones to interact with low cost Bluetoothbased be
Externí odkaz:
http://arxiv.org/abs/1802.05735
Thesis: Ph. D., Massachusetts Institute of Technology, Engineering Systems Division, 2014.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cat
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cat
Externí odkaz:
http://hdl.handle.net/1721.1/89871
Autor:
Sinha, Kaushik, de Weck, Olivier L.
The complexity of highly interconnected systems is rooted in the interwoven architecture defined by its connectivity structure. In this paper, we develop matrix energy of the underlying connectivity structure as a measure of topological complexity an
Externí odkaz:
http://arxiv.org/abs/1608.08456
Autor:
Bandyopadhyay, Dhrubajyoti, Banerjee, Upasana, Hajra, Adrija, Chakraborty, Sandipan, Amgai, Birendra, Ghosh, Raktim K., Haddadin, Faris I., Modi, Vivek A., Sinha, Kaushik, Aronow, Wilbert S., Deedwania, Prakash, Lavie, Carl J.
Publikováno v:
In Current Problems in Cardiology March 2021 46(3)
Autor:
Keivani, Omid, Sinha, Kaushik
Publikováno v:
In Information Sciences 6 February 2021 546:526-542
Autor:
Sinha, Kaushik
High dimensional data analysis involves, among many other tasks, modeling the unknown underlying data generating process and predicting one of the few possible sources that might have generated the data. If data have some underlying pattern or struct
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1284062001
Autor:
Sinha, Kaushik.
Thesis (Ph. D.)--University of Virginia, 2006.
Includes bibliographical references. Also available online through Digital Dissertations.
Includes bibliographical references. Also available online through Digital Dissertations.
Externí odkaz:
http://wwwlib.umi.com/dissertations/fullcit/3225945
Autor:
Dasgupta, Sanjoy, Sinha, Kaushik
The k-d tree was one of the first spatial data structures proposed for nearest neighbor search. Its efficacy is diminished in high-dimensional spaces, but several variants, with randomization and overlapping cells, have proved to be successful in pra
Externí odkaz:
http://arxiv.org/abs/1302.1948