Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Tilottama Goswami"'
Publikováno v:
IEEE Access, Vol 10, Pp 80379-80393 (2022)
Generalized image understanding of natural outdoor images is fundamentally a bottom-up approach guided by the data and information received from the digital input images. The importance of intermediate image representation that aids generalized image
Externí odkaz:
https://doaj.org/article/0f67689d88b1439a87844b9452659032
Publikováno v:
IEEE Access, Vol 9, Pp 33543-33556 (2021)
An abundance of various segmentation techniques are available in the literature, that cater to wide range of image understanding applications. The paper proposes a unified way of systematic categorization of the research work on image segmentation ca
Externí odkaz:
https://doaj.org/article/4c2c42d063ba40e9ac96ab9ded66a612
Publikováno v:
Statistical Modeling in Machine Learning ISBN: 9780323917766
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d6092b902d8d630c6f702385eb21d24
https://doi.org/10.1016/b978-0-323-91776-6.00007-5
https://doi.org/10.1016/b978-0-323-91776-6.00007-5
Autor:
Raja Banerjee, Haider Banka, Barbara Cardone, Bhanu Chander, Ferdinando Di Martino, Divy Dwivedi, Ranjana Dwivedi, Ashutosh Ganguly, Kumaravelan Gopalakrishnan, Tilottama Goswami, V.V. Haragopal, Ravikiran Inapakurthi, Pramod D. Jadhav, Sapna Singh Kshatri, Sumit Kumar, Shailesh Kumar, Basant Kumar, G. Madhuri, T. Manimozhi, Dyna Marneni, Srinivas Soumitri Miriyala, Dhanajay Mishra, Kishalay Mitra, K. Mohanasundaram, Charan Kumar Nara, Atul Negi, Priyanka D. Pantula, V. Pothyachi, NagaSree Keerthi Pujari, Sonal Mobar Roy, Uponika Barman Roy, Tapan Kumar Sahoo, Sabrina Senatore, Deepak Singh, G.R. Sinha, Rohini Srivastava, Vinay Kumar Srivastava, Sridhar Vemula, K.A. Venkatesh
Publikováno v:
Statistical Modeling in Machine Learning ISBN: 9780323917766
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b51d0db58ba55583b44d41f3bfe60eb2
https://doi.org/10.1016/b978-0-323-91776-6.01002-2
https://doi.org/10.1016/b978-0-323-91776-6.01002-2
Publikováno v:
Statistical Modeling in Machine Learning ISBN: 9780323917766
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46dd8e7b1f09b4793e674bde75306aff
https://doi.org/10.1016/b978-0-323-91776-6.00001-4
https://doi.org/10.1016/b978-0-323-91776-6.00001-4
Publikováno v:
IEEE Access, Vol 9, Pp 33543-33556 (2021)
An abundance of various segmentation techniques are available in the literature, that cater to wide range of image understanding applications. The paper proposes a unified way of systematic categorization of the research work on image segmentation ca
Autor:
Sunil Pathak, Maleika Heenaye Mamode Khan, Tilottama Goswami, Kapil Nagwanshi, Amit Kumar Gupta
Publikováno v:
International Journal of Biometrics. 15:272
Autor:
Uponika Barman Roy, Tilottama Goswami
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811579608
Machine learning (ML) is accurate and reliable in solving supervised problems such as classification, when the training is performed appropriately for the predefined classes. In real world scenario, during the dataset creation, class imbalance may ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97a6f48dafcceb2ec39ddeaf2fe0b101
https://doi.org/10.1007/978-981-15-7961-5_5
https://doi.org/10.1007/978-981-15-7961-5_5
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811579608
This paper proposes a model based on convolutional neural network for hand gesture recognition and classification. The dataset uses 26 different hand gestures, which map to English alphabets A–Z. Standard dataset called Hand Gesture Recognition ava
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4468aac2316020b73ec17548fb340da
https://doi.org/10.1007/978-981-15-7961-5_6
https://doi.org/10.1007/978-981-15-7961-5_6
Autor:
Tilottama Goswami
Prediction, forecast, and prognosis about the future is an interesting analysis and one of the most popularly used applications in various domains of science and technology, management science, medical science, agricultural science, and many more app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79d6853f3b28cb53a29dafb9ebd6ae2c
https://doi.org/10.1016/b978-0-12-819443-0.00016-7
https://doi.org/10.1016/b978-0-12-819443-0.00016-7