Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Sharath Pankanti"'
Publikováno v:
Computer. 53:14-18
The articles in this special section provide a glimpse of the diverse research challenges in adopting blockchain technology into mainstream applications. The four articles focus on the following core issues: scalability, transparency versus privacy,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e2b09c1b360094265e44ad9a78e789f
https://doi.org/10.1109/mc.2020.2990776
https://doi.org/10.1109/mc.2020.2990776
Publikováno v:
5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::081038bf71c8b38429b1b4c8dc1b379a
https://doi.org/10.1145/3493700.3493760
https://doi.org/10.1145/3493700.3493760
Publikováno v:
AIMLSystems
Deep learning models such as Convolutional Neural Networks (CNNs) have shown the potential to classify medical images for accurate diagnosis. These techniques will face regulatory compliance challenges related to privacy of user data, especially when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c06e740215857f6f6969c13046d4ca9a
https://doi.org/10.1145/3486001.3486233
https://doi.org/10.1145/3486001.3486233
Publikováno v:
2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8a7bcc4dd0f6906c33272614d00c44d
https://doi.org/10.1109/mmsp53017.2021.9733620
https://doi.org/10.1109/mmsp53017.2021.9733620
Publikováno v:
Computer. 52:13-18
The articles in this special section focus on cognitive computing systems. Humans are arguably the most intelligent entities in the known universe; the objective of cognitive computing is to understand and replicate the essence of human intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d96e6f6254e49a82176f55a83648ace5
https://doi.org/10.1109/mc.2019.2904940
https://doi.org/10.1109/mc.2019.2904940
Autor:
Siyu Huo, Patrick Watson, Bishwaranjan Bhattacharjee, Sharath Pankanti, Brian M. Belgodere, John R. Kender, Parijat Dube, Michael R. Glass, Noel C. F. Codella, Matthew L. Hill
Publikováno v:
CVPR Workshops
Transfer learning enhances learning across tasks, by leveraging previously learned representations -- if they are properly chosen. We describe an efficient method to accurately estimate the appropriateness of a previously trained model for use in a n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec947aa30545ea8ace75e0b1e4c60021
https://doi.org/10.1109/cvprw50498.2020.00388
https://doi.org/10.1109/cvprw50498.2020.00388
Autor:
James T. Rayfield, Roman Vaculin, Karthik Nandakumar, Sharath Pankanti, Nalini K. Ratha, Kanthi K. Sarpatwar, Karthikeyan Shanmugam
Publikováno v:
CVPR Workshops
In many areas in machine learning, decision trees play a crucial role in classification and regression. When a decision tree based classifier is hosted as a service in a critical application with the need for privacy protection of the service as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45227e01047a8566155e6fcb321ad0b5
https://doi.org/10.1109/cvprw50498.2020.00025
https://doi.org/10.1109/cvprw50498.2020.00025
Publikováno v:
CVPR Workshops
While deep learning is a valuable tool for solving many tough problems in computer vision, the success of deep learning models is typically determined by: (i) availability of sufficient training data, (ii) access to extensive computational resources,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3645331d47cea811dcb8a027e9ae9df9
https://doi.org/10.1109/cvprw.2019.00011
https://doi.org/10.1109/cvprw.2019.00011
Autor:
Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy, Sharath Pankanti, Raphael Viguier, Chung-Ching Lin
Publikováno v:
ICCV Workshops
Most methods for Bundle Adjustment (BA) in computer vision are either centralized or operate incrementally. This leads to poor scaling and affects the quality of solution as the number of images grows in large scale structure from motion (SfM). Furth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::513767223aee1176e347bf55a590b18b
http://arxiv.org/abs/1708.07954
http://arxiv.org/abs/1708.07954
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 15:760-770
In this paper, we present a real-time automatic vision-based rail inspection system, which performs inspections at 16 km/h with a frame rate of 20 fps. The system robustly detects important rail components such as ties, tie plates, and anchors, with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38c9d7e6b5bcd6d558f3ae20ef142776
https://doi.org/10.1109/tits.2013.2287155
https://doi.org/10.1109/tits.2013.2287155