Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Purushothaman, Balamuralidhar"'
Publikováno v:
In Ecological Indicators October 2024 167
This practical resource highlights the systematic problems Internet of Things is encountering on its journey to mass adoption. Professionals are offered solutions to key questions about IoT systems today, including potential network scalability issue
Autor:
Gaurab Bhattacharya, V. Bagya Lakshmi, Purushothaman Balamuralidhar, Nikhil Kilari, Jayavardhana Gubbi
Publikováno v:
IJCNN
Large-scale attribute recognition in fashion retail images is a crucial task in image-based recommendation systems. The challenges are due to the visually-similar instances, localized minute information and overlapping features. Moreover, the class i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0edeff8f263d0a030725bbfc8d79a23d
https://doi.org/10.1109/ijcnn52387.2021.9534179
https://doi.org/10.1109/ijcnn52387.2021.9534179
Publikováno v:
Remote Sensing Technologies and Applications in Urban Environments V.
Urban land use classes of complex nature are marked by the presence of multiple land covers and/or objects in the specific spatial order. The spatial configuration of the constituent parts of the land use class is generally unique. To the extent that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8984498a9e148059607b447e18ae3d29
https://doi.org/10.1117/12.2573980
https://doi.org/10.1117/12.2573980
Publikováno v:
IJCNN
Video analysis is increasingly becoming possible with improvement in hardware and deep learning algorithms. Videos contain the spatial as well as the temporal information that come closest to the real-world visual information representation. Albeit t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dbd0fe4036676378f035cc7da3ebb59
https://doi.org/10.1109/ijcnn48605.2020.9207305
https://doi.org/10.1109/ijcnn48605.2020.9207305
Autor:
Purushothaman Balamuralidhar, Jayavardhana Gubbi, Vinay Kulkarni, Asha Rajbhoj, Shailesh Deshpande
Publikováno v:
Enterprise, Business-Process and Information Systems Modeling ISBN: 9783030206178
BPMDS/EMMSAD@CAiSE
BPMDS/EMMSAD@CAiSE
Creation of an image processing pipeline for solving complex problems is a tedious task. Current industry practices largely rely on the image processing domain experts for this. Given the image processing problem have multiple viable solutions. Thus,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a53e5bbfd95f11faa1688dd02a66896b
https://doi.org/10.1007/978-3-030-20618-5_20
https://doi.org/10.1007/978-3-030-20618-5_20
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110116
ECCV Workshops (2)
ECCV Workshops (2)
The increasing urban population in cities necessitates the need for the development of smart cities that can offer better services to its citizens. Drone technology plays a crucial role in the smart city environment and is already involved in a numbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76e88ba12586355015abe08adb825fb2
https://doi.org/10.1007/978-3-030-11012-3_10
https://doi.org/10.1007/978-3-030-11012-3_10
Autor:
Karthik Seemakurthy, Angshul Majumdar, Jayavardhana Gubbi, Shailesh Deshpande, Purushothaman Balamuralidhar
Publikováno v:
IJCNN
Dictionary learning (DL) is one of the popular sparse coding machine learning techniques. In image processing literature, every input image is represented as the sparse linear combination of basis vectors. DL has been shown to have wide applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da57eba205b6b21e8e94cc617ced9f56
https://doi.org/10.1109/ijcnn.2018.8489709
https://doi.org/10.1109/ijcnn.2018.8489709
Publikováno v:
IJCNN
Infrastructure detection and monitoring is a difficult task. Due to the advances in unmanned vehicles and image analytics, it is possible to decrease the human effort and achieve consistent results in infrastructure assessments using aerial image pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5677ea3d4f2c42d7a358c432af43e7c1
https://doi.org/10.1109/ijcnn.2017.7966053
https://doi.org/10.1109/ijcnn.2017.7966053
Autor:
Bruzzone, Lorenzo, Bovolo, Francesca, Benediktsson, Jon Atli, K., Ram Prabhakar, Nukala, Veera Harikrishna, Nayak, Madhumitha, Gubbi, Jayavardhana, Purushothaman, Balamuralidhar
Publikováno v:
Proceedings of SPIE; October 2021, Vol. 11862 Issue: 1 p118620L-118620L-6, 1067587p