Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Vineet, Garg"'
Publikováno v:
Journal of Indian Academy of Oral Medicine and Radiology, Vol 29, Iss 3, Pp 195-199 (2017)
Introduction: Because dermatoglyphic features are strongly affected by genetic and environmental factors, using it as supportive evidence in the diagnosis of hereditary disorders becomes a reality. Offspring of patients suffering from chronic periodo
Externí odkaz:
https://doaj.org/article/b63e3eef61364c44ad147b866d344b9d
Autor:
Balbir, Singh, Paresh, Pai, Harish, Kumar, Sheeba, George, Sandeep, Mahapatra, Vineet, Garg, G N, Gupta, Kiran, Makineni, Gaurav, Ganeshwala, Pravin, Narkhede, Syed M H, Naqvi, Kumar, Gaurav, Mohammed Y K, Hukkeri
Publikováno v:
Cardiology and Therapy. 11:49-79
Non-vitamin K antagonist oral anticoagulants (NOACs) are a new class of anticoagulant drugs used in the prevention and treatment of venous thromboembolism (VTE) and atrial fibrillation (AF). Anticoagulation requires the integration of the correct typ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da5b4ef76da577dd71724bffcc970821
https://doi.org/10.1007/s40119-022-00254-w
https://doi.org/10.1007/s40119-022-00254-w
Autor:
Siddharth Sigtia, Wonil Chang, Pramod Simha, Chandra Shekhar Dhir, Pranay Dighe, Saurabh Adya, Vineet Garg
Publikováno v:
Interspeech 2021.
We present a unified and hardware efficient architecture for two stage voice trigger detection (VTD) and false trigger mitigation (FTM) tasks. Two stage VTD systems of voice assistants can get falsely activated to audio segments acoustically similar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30c57cb6f543635375ce668b91645991
https://doi.org/10.21437/interspeech.2021-1428
https://doi.org/10.21437/interspeech.2021-1428
Publikováno v:
ICASSP
We present an architecture for voice trigger detection for virtual assistants. The main idea in this work is to exploit information in words that immediately follow the trigger phrase. We first demonstrate that by including more audio context after a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fa6202fbfe5a2ec003a8afb8cb11f2d
http://arxiv.org/abs/2010.15446
http://arxiv.org/abs/2010.15446
Publikováno v:
INTERSPEECH
We consider the design of two-pass voice trigger detection systems. We focus on the networks in the second pass that are used to re-score candidate segments obtained from the first-pass. Our baseline is an acoustic model(AM), with BiLSTM layers, trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0aea9ae6813f54213403f5997dec57ac
Publikováno v:
Journal of Indian Academy of Oral Medicine and Radiology, Vol 29, Iss 3, Pp 195-199 (2017)
Introduction: Because dermatoglyphic features are strongly affected by genetic and environmental factors, using it as supportive evidence in the diagnosis of hereditary disorders becomes a reality. Offspring of patients suffering from chronic periodo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34797286d35e5416f49af49952e55d7b
http://www.jiaomr.in/article.asp?issn=0972-1363
http://www.jiaomr.in/article.asp?issn=0972-1363
Autor:
Zoltan Haindrich, Slim Bouguerra, Prasanth Jayachandran, Sankar Hariappan, Jason Dere, Nita Dembla, Owen O'Malley, Siddharth Seth, Anishek Agarwal, Gopal Vijayaraghavan, Jesús Camacho-Rodríguez, Alan Gates, Vineet Garg, Günther Hagleitner, Sergey Shelukhin, Eugene Koifman, Thejas Nair, Deepak Jaiswal, Ashutosh Chauhan, Daniel Dai, Nishant Bangarwa
Publikováno v:
SIGMOD Conference
Apache Hive is an open-source relational database system for analytic big-data workloads. In this paper we describe the key innovations on the journey from batch tool to fully fledged enterprise data warehousing system. We present a hybrid architectu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1432480421c219d58a9ca8d442355244
http://arxiv.org/abs/1903.10970
http://arxiv.org/abs/1903.10970
Publikováno v:
ICSPS
The paper presents a fully automatic end-to-end trainable system to colorize grayscale images. Colorization is a highly under-constrained problem. In order to produce realistic outputs, the proposed approach takes advantage of the recent advances in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94daaab1c0f1d8d6ef2f7ea8ce400b6a
https://doi.org/10.1145/3163080.3163104
https://doi.org/10.1145/3163080.3163104