Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Sarbani Palit"'
Autor:
Payel Sadhukhan, Sarbani Palit
Publikováno v:
IEEE Access, Vol 8, Pp 7394-7407 (2020)
In a multi-label dataset, an instance is given a single representation across all possible labels. Despite the mutual sharing of instances among the labels, the membership of the instances vary from label to label. This diversifies the intrinsic clas
Externí odkaz:
https://doaj.org/article/afd86ffadfbe481496faf02521786da9
Publikováno v:
Image and Vision Computing ISBN: 9783031258244
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb13628124495fefa701c7f9921adeac
https://doi.org/10.1007/978-3-031-25825-1_23
https://doi.org/10.1007/978-3-031-25825-1_23
Autor:
Somrita Bakshi, Sarbani Palit, Ujjwal Bhattacharya, Kimia Gholami, Nushrat Hussain, Debasis Mitra
Publikováno v:
Image and Vision Computing ISBN: 9783031258244
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc22f6a4dff14582c3e559d56cc2d432
https://doi.org/10.1007/978-3-031-25825-1_24
https://doi.org/10.1007/978-3-031-25825-1_24
Autor:
Sarbani Palit, Payel Sadhukhan
Publikováno v:
Pattern Recognition Letters. 136:16-24
The minority oversampling techniques have substantiated their appropriateness and utility in the domain of class-imbalance learning. However, this does not affirm the true class of the synthetic minority points. In this work, Adaptive Learning of Min
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7467020f192413a0603af2646c29f0b
https://doi.org/10.1016/j.patrec.2020.05.020
https://doi.org/10.1016/j.patrec.2020.05.020
Publikováno v:
IETE Technical Review. 38:418-428
Personal communication methods in underground coal mines are far less sophisticated and efficient than surface level communication techniques. This deficiency can be attributed to the generally unf...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d483e8a4e2bf144509a4131e263e9456
https://doi.org/10.1080/02564602.2020.1757519
https://doi.org/10.1080/02564602.2020.1757519
Publikováno v:
Multimedia Tools and Applications. 79:17761-17791
Detection and restoration of greatly tampered images is an important albeit difficult problem. Two schemes for the detection of tampered areas in images and their restoration have been presented. One of them works in the spatial domain and implements
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb038b92ff0c98f1d45beba8668c92c6
https://doi.org/10.1007/s11042-020-08669-0
https://doi.org/10.1007/s11042-020-08669-0
Autor:
Sarbani Palit, Ankan Bhattacharya
Publikováno v:
Multimedia Tools and Applications. 79:5545-5572
In modern communication systems, transmission of data, particularly that of images is very important. Unfortunately, the process is prone to different kinds of degradations. For instance, the large traffic on the network makes the reduction of data v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed7f5f36439d571c6b1e5b56dd03f54b
https://doi.org/10.1007/s11042-019-08444-w
https://doi.org/10.1007/s11042-019-08444-w
Publikováno v:
2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c34adf9535174de4fa201184f98b62a
https://doi.org/10.1109/ivcnz54163.2021.9653246
https://doi.org/10.1109/ivcnz54163.2021.9653246
Autor:
Payel Sadhukhan, Sarbani Palit
Publikováno v:
Pattern Recognition Letters. 125:813-820
In this article, we present a novel reverse-nearest neighborhood based oversampling scheme for the imbalanced labels of a multi-label dataset. Reverse nearest neighborhood of a query point includes all those points which contain the query point as on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be91b71f6a1bb4f4921e741198a3d93f
https://doi.org/10.1016/j.patrec.2019.08.009
https://doi.org/10.1016/j.patrec.2019.08.009
There is often a mixture of very frequent labels and very infrequent labels in multi-label datatsets. This variation in label frequency, a type class imbalance, creates a significant challenge for building efficient multi-label classification algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5219c61455094176ec1055dfdd6f857