Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Naresh Purre"'
Autor:
Rishabh Kumar, Kamal Jakhar, Hemant Tiwari, Naresh Purre, Priyanshu Kumar, Jiban Prakash, Vanraj Vala
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783031084720
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c4c358daaf4c4acc2e196640863fdb5
https://doi.org/10.1007/978-3-031-08473-7_23
https://doi.org/10.1007/978-3-031-08473-7_23
Autor:
Manoj Goyal, Gopi Ramena, Naresh Purre, Debi Prasanna Mohanty, Sukumar Moharana, Arun D Prabhu, Dhruval Jain
Publikováno v:
ICPR
Recent research on super-resolution (SR) has witnessed major developments with the advancements of deep convolutional neural networks. There is a need for information extraction from scenic text images or even document images on device, most of which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a29b9008120f2d531d09d29424c14b9
https://doi.org/10.1109/icpr48806.2021.9412222
https://doi.org/10.1109/icpr48806.2021.9412222
Autor:
Dhruval Jain, Gopi Ramena, Naresh Purre, Rachit S Munjal, Sukumar Moharana, Shubham Vatsal, Nikhil Arora
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811610912
CVIP (2)
CVIP (2)
Diacritic characters can be considered as a unique set of characters providing us with adequate and significant clue in identifying a given language with considerably high accuracy. Diacritics, though associated with phonetics often serve as a distin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03b95110d724883bf5dcd7d1bb5f1c9b
https://doi.org/10.1007/978-981-16-1092-9_42
https://doi.org/10.1007/978-981-16-1092-9_42
Publikováno v:
ICSC
Codeswitching has become one of the most common occurrences across multilingual speakers of the world, especially in countries like India which encompasses around 23 official languages with the number of bilingual speakers being around 300 million. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77f960255d0b94a49a43ffa97e15c7e7
http://arxiv.org/abs/2012.02990
http://arxiv.org/abs/2012.02990
Publikováno v:
IJCNN
Artificially crafted images such as memes, seasonal greetings, etc are flooding the social media platforms today. These eventually start occupying a lot of internal memory of smartphones and it gets cumbersome for the user to go through hundreds of i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2d080d32f47c36e9cd5595f0049c8c1
https://doi.org/10.1109/ijcnn48605.2020.9206933
https://doi.org/10.1109/ijcnn48605.2020.9206933
Publikováno v:
ICSC
The dearth of clean textual data often acts as a bottleneck in several natural language processing applications. The data available often lacks proper case (uppercase or lowercase) information. This often comes up when text is obtained from social me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7e3519eff0926aee93f88bc0af8493d
https://doi.org/10.1109/icsc.2020.00035
https://doi.org/10.1109/icsc.2020.00035
Publikováno v:
ICSC
With the overwhelming transition to smart phones, storing important information in the form of unstructured text has become habitual to users of mobile devices. From grocery lists to drafts of emails and important speeches, users store a lot of data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68e718a0f64a1618128b6e25501d830f
Publikováno v:
ICSC
Determining the sentence similarity between Short Message Service (SMS) texts/sentences plays a significant role in mobile device industry. Gauging the similarity between SMS data is thus necessary for various applications like enhanced searching and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f14c2373df04fcda1bb225de461d7e53