Zobrazeno 1 - 4
of 4
pro vyhledávání: '"V. Madhusudan Rao"'
Publikováno v:
Journal of Visual Impairment & Blindness. 116:496-506
Introduction: This work investigates if simple two-dimensional (2D) tactile shapes can facilitate encoding, retention, and retrieval of associated information in the form of one-word labels. It also questions the need for the resemblance of tactile g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dcd218fa12d47ed740f05a438506922
https://doi.org/10.1177/0145482x221124867
https://doi.org/10.1177/0145482x221124867
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031243516
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94fe52952b8cc02fed8b506c4a8f6c46
https://doi.org/10.1007/978-3-031-24352-3_15
https://doi.org/10.1007/978-3-031-24352-3_15
Autor:
V Madhusudan Rao, D. Sai Kumar
Publikováno v:
2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT).
Classification of data plays a key role in the present conditions as most of the real world applications deal with large volumes of data. The problem of classification is defined as assigning a class to each data object in a way that is consistent wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d683b355a36750207f81a52fe5291828
https://doi.org/10.1109/icicct.2018.8473263
https://doi.org/10.1109/icicct.2018.8473263
Autor:
V. Madhusudan Rao, V. N. Sastry
Publikováno v:
RAIT
Feature ranking and selection play an important role in many areas of Machine learning. Most of the work found in the machine learning literature concerns itself with supervised dimensionality reduction where each instance of the dataset is attached
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::285bbca8b9062a74fe0160d50187d3f4
https://doi.org/10.1109/rait.2012.6194631
https://doi.org/10.1109/rait.2012.6194631