Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sanketh, Shetty"'
Autor:
Sanketh Shetty, Laurent Pavan, Arpita Prasad, Eric Bordier, Steve Thomas Pannakal, Laurent Marrot, Joan Eilstein, Laurence Garnier, Samia Boudah, Nita Roy, Lionel Paillat, Zhengang Peng, Prashant Ekhar
Publikováno v:
Phytochemical Analysis. 33:105-114
INTRODUCTION The mulberry tree (Morus alba L.) is a prolific source of biologically active compounds. There is considerable growing interest in probing M. alba twigs as a source of disruptive antioxidant lead candidates for cosmetic skin care product
Autor:
Steve, Thomas Pannakal, Joan, Eilstein, Arpita, Prasad, Prashant, Ekhar, Sanketh, Shetty, Zhengang, Peng, Eric, Bordier, Samia, Boudah, Lionel, Paillat, Laurent, Marrot, Laurence, Garnier, Laurent, Pavan, Nita, Roy
Publikováno v:
Phytochemical analysis : PCA. 33(1)
The mulberry tree (Morus alba L.) is a prolific source of biologically active compounds. There is considerable growing interest in probing M. alba twigs as a source of disruptive antioxidant lead candidates for cosmetic skin care product development.
Publikováno v:
ACM Multimedia
We address the problem of fine-grained action localization from temporally untrimmed web videos. We assume that only weak video-level annotations are available for training. The goal is to use these weak labels to identify temporal segments correspon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88a55ed371044eb1d02776b1ce174dfe
http://arxiv.org/abs/1504.00983
http://arxiv.org/abs/1504.00983
Autor:
Narendra Ahuja, Sanketh Shetty
Publikováno v:
Computer Vision – ECCV 2010 ISBN: 9783642155543
ECCV (5)
ECCV (5)
We present a novel scale adaptive, nonparametric approach to clustering point patterns. Clusters are detected by moving all points to their cluster cores using shift vectors. First, we propose a novel scale selection criterion based on local density
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d01291f2c53ffeca1ad0e139f6b5cf2
https://doi.org/10.1007/978-3-642-15555-0_47
https://doi.org/10.1007/978-3-642-15555-0_47
Autor:
Sanketh Shetty, Narendra Ahuja
Publikováno v:
ICPR
We propose a novel multivariate uniformity criterion for testing uniformity of point density in an arbitrary dimensional point pattern. An unsupervised, nonparametric data clustering algorithm, using this criterion, is also presented. The algorithm r
In this project, we explore a new approach to two-dimensional shape recognition. The method draws from literature on the Hough transform and its extensions. The methods is shown to be invariant to zoom, translation, rotation, and partial occlusion, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2e36ca8d6d036e70391a61aaee87d81
https://doi.org/10.21236/ada455395
https://doi.org/10.21236/ada455395