Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Viswanath Pulabaigari"'
Publikováno v:
Neural Computing and Applications. 34:10901-10928
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12ad70530b222d02e8ee39b2651bfd96
https://doi.org/10.1007/s00521-022-07018-6
https://doi.org/10.1007/s00521-022-07018-6
Publikováno v:
2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0201c99f976089fbffc08fbf13ee74c
https://doi.org/10.1109/iciscois56541.2023.10100586
https://doi.org/10.1109/iciscois56541.2023.10100586
Publikováno v:
Communications in Computer and Information Science ISBN: 9789819916382
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c728be61b0249315414e82989127712c
https://doi.org/10.1007/978-981-99-1639-9_55
https://doi.org/10.1007/978-981-99-1639-9_55
Autor:
Rama Krishna Sai Subrahmanyam Gorthi, Chandra Sekhar Vorugunti, Prerana Mukherjee, Viswanath Pulabaigari
Publikováno v:
Neurocomputing. 409:157-172
Online Signature Verification (OSV) techniques have been deployed in production systems for decades, yet training the model for efficient classification of the test signature from fewer training signature samples is still an open challenge. The advan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e37ce6cf6ad7102ac8de04cbc5f3ed8
https://doi.org/10.1016/j.neucom.2020.05.072
https://doi.org/10.1016/j.neucom.2020.05.072
Publikováno v:
IET Biometrics. 9:259-268
Online signature verification (OSV) is a widely utilised technique in the medical, e-commerce and m-commerce applications to lawfully bind the user. These high-speed systems demand faster writer verification with a limited amount of information along
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67e4d1ed85803ed04bac389b4fc709ef
https://doi.org/10.1049/iet-bmt.2020.0032
https://doi.org/10.1049/iet-bmt.2020.0032
Publikováno v:
Neurocomputing. 378:112-119
The Convolutional Neural Networks (CNNs), in domains like computer vision, mostly reduced the need for handcrafted features due to its ability to learn the problem-specific features from the raw input data. However, the selection of dataset-specific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cc3e05cbe04d64b66401f452dee37d4
https://doi.org/10.1016/j.neucom.2019.10.008
https://doi.org/10.1016/j.neucom.2019.10.008
Publikováno v:
2022 International Conference on Innovative Trends in Information Technology (ICITIIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6244d682daba0061cb55097f4cb62f27
https://doi.org/10.1109/icitiit54346.2022.9744240
https://doi.org/10.1109/icitiit54346.2022.9744240
Publikováno v:
Frontiers in Handwriting Recognition ISBN: 9783031216473
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f99360843150dc8eee880b928393f709
https://doi.org/10.1007/978-3-031-21648-0_6
https://doi.org/10.1007/978-3-031-21648-0_6
Publikováno v:
Expert Systems with Applications. 207:117952
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80296a2b05e9ce9d94cc7cac99b21040
https://doi.org/10.1016/j.eswa.2022.117952
https://doi.org/10.1016/j.eswa.2022.117952
We propose a novel scheme for human action recognition in videos, using a 3-dimensional Convolutional Neural Network (3D CNN) based classifier. Traditionally in deep learning based human activity recognition approaches, either a few random frames or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::150f47ff861f448e1c442c73446814d7
http://arxiv.org/abs/2002.02100
http://arxiv.org/abs/2002.02100