Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Utkarsh Porwal"'
Publikováno v:
International Journal on Document Analysis and Recognition (IJDAR). 25:241-243
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5305d4df952a927f37752a3d55a5931
https://doi.org/10.1007/s10032-022-00421-8
https://doi.org/10.1007/s10032-022-00421-8
Publikováno v:
Handbook of Statistics ISBN: 9780443184307
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3f4f82638ec962ea5a077bd25f22bbf
https://doi.org/10.1016/bs.host.2022.12.004
https://doi.org/10.1016/bs.host.2022.12.004
This book constitutes the refereed proceedings of the 18th International Conference on Frontiers in Handwriting Recognition, ICFHR 2022, which took place in Hyderabad, India, during December 4-7, 2022.The 36 full papers and 1 short paper presented in
Autor:
Smruthi Mukund, Utkarsh Porwal
Publikováno v:
TrustCom/BigDataSE
Often the challenge associated with tasks like fraud detection is the lack of all likely patterns needed to train suitable supervised learning models. This problem accentuates when the fraudulent patterns are not only scarce, they also change over ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c0d10e27aae53be6a867982285fea7c
https://doi.org/10.1109/trustcom/bigdatase.2019.00045
https://doi.org/10.1109/trustcom/bigdatase.2019.00045
Publikováno v:
SIGIR
eCommerce Information Retrieval is receiving increasing attention in the academic literature, and is an essential component of some of the largest web sites (such as eBay, Amazon, Airbnb, Alibaba, Taobao, Target, Facebook, Home Depot, and others). Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51ec2133dc3e39b764cf1098cdfbf6e0
https://doi.org/10.1145/3331184.3331643
https://doi.org/10.1145/3331184.3331643
The SIGIR 2019 Workshop on eCommerce (ECOM19), was a full day workshop that took place on Thursday, July 25, 2019 in Paris, France. The purpose of the workshop was to serve as a platform for publication and discussion of Information Retrieval and NLP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4de7ad01c2c9142aa1e2c36885555359
Autor:
Utkarsh Porwal
Computing similarity between a query and a document is fundamental in any information retrieval system. In search engines, computing query-document similarity is an essential step in both retrieval and ranking stages. In eBay search, document is an i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc4322c7d1a2400b864d0e0a553564a4
Autor:
Utkarsh Porwal, Grigor Aslanyan
Publikováno v:
String Processing and Information Retrieval ISBN: 9783030326852
SPIRE
SPIRE
The Unbiased Learning-to-Rank framework [16] has been recently proposed as a general approach to systematically remove biases, such as position bias, from learning-to-rank models. The method takes two steps - estimating click propensities and using t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1cf7ddbba20a4803399287212d2b3ac
https://doi.org/10.1007/978-3-030-32686-9_4
https://doi.org/10.1007/978-3-030-32686-9_4
Autor:
Utkarsh Porwal, Venu Govindaraju
Publikováno v:
IET Biometrics. 2:208-215
Writer identification is a complex task as the handwriting of an individual encapsulates lot of information pertaining to text and personality of a writer. To learn a model to distinguish one writer from the other, it is important to capture every nu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e43906ee3f300a588cf6e1e22534174b
https://doi.org/10.1049/iet-bmt.2013.0018
https://doi.org/10.1049/iet-bmt.2013.0018
Publikováno v:
Document Analysis Systems
Writer Identification can be seen as a multi-class learning problem where number of writers are different classes. One of the fundamental approaches to solve a multi-class problemis by breaking it into binary classification tasks. In this work weare
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10aafb2e8c0779faef205d13d621afd5
https://doi.org/10.1109/das.2014.73
https://doi.org/10.1109/das.2014.73