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pro vyhledávání: '"Pailla, Balakrishna Reddy"'
Autor:
Pokala, Praveen Kumar, Patibandla, Jaya Sai Kiran, Pandey, Naveen Kumar, Pailla, Balakrishna Reddy
Video foreground segmentation (VFS) is an important computer vision task wherein one aims to segment the objects under motion from the background. Most of the current methods are image-based, i.e., rely only on spatial cues while ignoring motion cues
Externí odkaz:
http://arxiv.org/abs/2402.00918
Autor:
Behera, Swarup Ranjan, Injeti, Krishna Mohan, Patibandla, Jaya Sai Kiran, Pokala, Praveen Kumar, Pailla, Balakrishna Reddy
Audio Question Answering (AQA) constitutes a pivotal task in which machines analyze both audio signals and natural language questions to produce precise natural language answers. The significance of possessing high-quality, diverse, and extensive AQA
Externí odkaz:
http://arxiv.org/abs/2312.17343
Autor:
Chakraborty, Snehashis, Kumar, Komal, Tadepalli, Kalyan, Pailla, Balakrishna Reddy, Roy, Sudipta
Publikováno v:
Multimedia Tools & Applications; Jun2024, Vol. 83 Issue 19, p57613-57641, 29p
Akademický článek
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Publikováno v:
Computers in biology and medicine. 150
Automatic segmentation and annotation of medical image plays a critical role in scientific research and the medical care community. Automatic segmentation and annotation not only increase the efficiency of clinical workflow, but also prevent overburd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01efbbd66d2677673226c511a0d42571
https://pubmed.ncbi.nlm.nih.gov/36137316
https://pubmed.ncbi.nlm.nih.gov/36137316
Publikováno v:
Advances in Visual Computing ISBN: 9783031207129
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dd0e55f30af4a242f9e403e075e0a51
https://doi.org/10.1007/978-3-031-20713-6_34
https://doi.org/10.1007/978-3-031-20713-6_34
Evaluating Speech Production-based Acoustic Features for COVID-19 Classification using Cough Signals
Publikováno v:
2021 IEEE 18th India Council International Conference (INDICON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc6fdd9c5a6f1cf77b3daca41734dc95
https://doi.org/10.1109/indicon52576.2021.9691699
https://doi.org/10.1109/indicon52576.2021.9691699
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783662493892
ACIIDS (2)
ACIIDS (2)
Recommender system (RS) helps customers to select appropriate products from millions of products and has become a key component in e-commerce systems. Collaborative filtering (CF) based approaches are widely employed to build RSs. In CF, recommendati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::665b7a9d2c37e425362d44ea762fd34b
https://doi.org/10.1007/978-3-662-49390-8_19
https://doi.org/10.1007/978-3-662-49390-8_19
Publikováno v:
Mining Intelligence and Knowledge Exploration ISBN: 9783319268316
MIKE
MIKE
Developing efficient approaches to extract relevant information from a collection of legal judgments is a research issue. Legal judgments contain citations in addition to text. It can be noted that the link information has been exploited to build eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbdd8234a93b2c5f8bb2f2e93b04cb8e
https://doi.org/10.1007/978-3-319-26832-3_42
https://doi.org/10.1007/978-3-319-26832-3_42