Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Sudhakar, Prasad"'
Autor:
Anand, Deepa, Das, Bipul, Dangeti, Vyshnav, Jerald, Antony, Mullick, Rakesh, Patil, Uday, Sharma, Pakhi, Sudhakar, Prasad
In a setting where segmentation models have to be built for multiple datasets, each with its own corresponding label set, a straightforward way is to learn one model for every dataset and its labels. Alternatively, multi-task architectures with share
Externí odkaz:
http://arxiv.org/abs/2411.11105
Promptable foundation models, particularly Segment Anything Model (SAM), have emerged as a promising alternative to the traditional task-specific supervised learning for image segmentation. However, many evaluation studies have found that their perfo
Externí odkaz:
http://arxiv.org/abs/2310.17128
Publikováno v:
Electronic Journal of Plant Breeding, Vol 13, Iss 2, Pp 717-723 (2022)
The present investigation was conducted for character association and their causal effect of quantitatively inherited characters with 21 genotypes of pigeonpea. The genotypic and phenotypic coefficient of variation exhibited high for secondary bran
Externí odkaz:
https://doaj.org/article/3c5b55b677a9428cad387f8435c0aa2e
Autor:
Ravishankar, Hariharan, Sudhakar, Prasad, Venkataramani, Rahul, Thiruvenkadam, Sheshadri, Annangi, Pavan, Babu, Narayanan, Vaidya, Vivek
The ability to automatically learn task specific feature representations has led to a huge success of deep learning methods. When large training data is scarce, such as in medical imaging problems, transfer learning has been very effective. In this p
Externí odkaz:
http://arxiv.org/abs/1704.06040
Autor:
Venkataramani, Rahul, Thiruvenkadam, Sheshadri, Sudhakar, Prasad, Ravishankar, Hariharan, Vaidya, Vivek
Typical convolutional neural networks (CNNs) have several millions of parameters and require a large amount of annotated data to train them. In medical applications where training data is hard to come by, these sophisticated machine learning models a
Externí odkaz:
http://arxiv.org/abs/1612.02575
Light rays incident on a transparent object of uniform refractive index undergo deflections, which uniquely characterize the surface geometry of the object. Associated with each point on the surface is a deflection map (or spectrum) which describes t
Externí odkaz:
http://arxiv.org/abs/1406.6425
Schlieren deflectometry aims at characterizing the deflections undergone by refracted incident light rays at any surface point of a transparent object. For smooth surfaces, each surface location is actually associated with a sparse deflection map (or
Externí odkaz:
http://arxiv.org/abs/1212.0433
Convolutive source separation is often done in two stages: 1) estimation of the mixing filters and 2) estimation of the sources. Traditional approaches suffer from the ambiguities of arbitrary permutations and scaling in each frequency bin of the est
Externí odkaz:
http://arxiv.org/abs/1111.2848
Publikováno v:
Electronic Journal of Plant Breeding. Jun2022, Vol. 13 Issue 2, p717-723. 7p.
Autor:
Sudhakar Prasad Mishra, Suhel Mehandi, Shubhank Dixit, Divyaditya Awasthi, Richa Dwivedi, Shanu Shukla
Publikováno v:
International Journal of Plant & Soil Science. :743-748
The experimentation was carried out for twenty-one diverse genotypes of pigeon pea for eight quantitatively inherited traits. The genotypes were grouped into six clusters following P.C. Mahalanobis D2 statistical techniques. The cluster I consisted h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d4694df0170b8f59f3945d317f19e2b
https://doi.org/10.9734/ijpss/2022/v34i242698
https://doi.org/10.9734/ijpss/2022/v34i242698