Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nilesh P. Bhosle"'
Publikováno v:
The Journal of Plant Science Research. 36:85-88
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8477025cec0d0aaab09ec0afd92182ac
https://doi.org/10.32381/jpsr.2020.36.1-2.11
https://doi.org/10.32381/jpsr.2020.36.1-2.11
Autor:
Nilesh P. Bhosle, Mininath K. Nighot
Publikováno v:
Journal of Advanced Research in Dynamical and Control Systems. 12:379-387
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::363d2447bd7d07c0c821938a0d1cf330
https://doi.org/10.5373/jardcs/v12i5/20201725
https://doi.org/10.5373/jardcs/v12i5/20201725
Autor:
Manesh Kokare, Nilesh P. Bhosle
Publikováno v:
International Journal of Intelligent Information and Database Systems. 13:72
The classification-based relevance feedback approach suffers from the problem of imbalanced training dataset, which causes instability and degradation in the retrieval results. In order to tackle with this problem, a novel active learning approach ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d5ff83f6ae42da718dcca74f8966e44
https://doi.org/10.1504/ijiids.2020.10030218
https://doi.org/10.1504/ijiids.2020.10030218
Autor:
Nilesh P. Bhosle, Manesh Kokare
Publikováno v:
2016 International Conference on Signal and Information Processing (IConSIP).
The use of content based image retrieval system in real life applications is limited because of the semantic gap between the low level and high level image features, used for the image similarity measure. Relevance feedback has been considered as a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3eade7c3221fc064e3bcccdd0f115c52
https://doi.org/10.1109/iconsip.2016.7857468
https://doi.org/10.1109/iconsip.2016.7857468
Autor:
Nilesh P. Bhosle, Manesh B. Kokare
Publikováno v:
International Journal of Applied Pattern Recognition. 3:293
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c8b8c18915a229629a356a28d6d9f8d
https://doi.org/10.1504/ijapr.2016.082230
https://doi.org/10.1504/ijapr.2016.082230
Autor:
Nilesh P. Bhosle, Manesh Kokare
Publikováno v:
International Journal of Applied Pattern Recognition. 3:293
Relevance feedback has been considered as the most vivid approach for reduction of semantic gap in content-based image retrieval systems. However, existing relevance feedback techniques require more number of feedback iterations to fulfil user's requ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::965daeea790b35b2671bfdd6d3e9e7f1
https://doi.org/10.1504/ijapr.2016.10002974
https://doi.org/10.1504/ijapr.2016.10002974