Zobrazeno 1 - 10
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pro vyhledávání: '"Vandana M Ladwani"'
Document forgery is an increasing problem for both private companies and public administrations. It can be said to represent the loss of time and resources. There are many classical solutions to these problems such as the detection of an integrated s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::cf1da6e76018a0fd744dff456639f61d
https://zenodo.org/record/8073612
https://zenodo.org/record/8073612
Autor:
Vandana M. Ladwani, V. Ramasubramanian
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030863791
ICANN (4)
ICANN (4)
In this paper, we examine Hopfield network composed of multi-state neurons for storing sequence data as limit cycles of the network. Earlier, we had presented uni-modal data - particularly text, speech and audio data storage and retrieval in bipolar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ace4b0f641cb4f7a7ecf8d35ff96498c
https://doi.org/10.1007/978-3-030-86380-7_34
https://doi.org/10.1007/978-3-030-86380-7_34
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation ISBN: 9783030304867
ICANN (1)
ICANN (1)
Recently we presented text storage and retrieval in an auto-associative memory framework using the Hopfield neural-network. This realized the ideal functionality of Hopfield network as a content-addressable information retrieval system. In this paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f36548bc7ccc426496b82f64404770f
https://doi.org/10.1007/978-3-030-30487-4_5
https://doi.org/10.1007/978-3-030-30487-4_5
Autor:
Vandana M. Ladwani, Srikanta Murthy K
Publikováno v:
IJARCCE. :224-227
2 Abstract: Steganography is the art and science of writing hidden messages in such a way that no one apart from sender and intended recipient even realizes that the communication is going on in the first place. It can also be used to authenticate th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14ea99e33a7b7ce0338255922a7a0ef5
https://doi.org/10.17148/ijarcce.2015.4149
https://doi.org/10.17148/ijarcce.2015.4149
Autor:
Vandana M. Ladwani
Support Vector Machines is one of the powerful Machine learning algorithms used for numerous applications. Support Vector Machines generate decision boundary between two classes which is characterized by special subset of the training data called as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e615befbeaeb793ec3485ac3471eaa7
https://doi.org/10.4018/978-1-5225-2498-4.ch012
https://doi.org/10.4018/978-1-5225-2498-4.ch012
Autor:
Vandana M. Ladwani, S. Yogesh, P. Shivaganga, V. Ramasubramanian, N. Harisha, R. Shreyas, Y. Vaishnavi, B.R. Vinay Kumar
Publikováno v:
NCC
We address the problem of audio search in the framework of Hopfield net associative memory, to realize its ideal functionality as a content based information retrieval system. Towards this, we examine various issues such as i) how the capacity of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7990cf8ba369cdcd4563538985e7066b
https://doi.org/10.1109/ncc.2017.8077074
https://doi.org/10.1109/ncc.2017.8077074
Publikováno v:
2016 IEEE Annual India Conference (INDICON).
We examine the problem of how the Hopfield net associative memory framework can be adapted for speech recognition, by first identifying specific issues in such an adaptation, such as i) the problem of representing spectral feature vector sequences in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6c4b9ffda7234b7ed8cc0fc373a1fcc
https://doi.org/10.1109/indicon.2016.7839105
https://doi.org/10.1109/indicon.2016.7839105
Publikováno v:
2016 International Conference on Inventive Computation Technologies (ICICT).
Usually, music is generally classified on the basis of its genre which indicates its musical style or musical form based on some sort of shared history. On the contrary, this paper aims to classify a given track into a mood such as happy, sad, peacef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec25eb409230e033e7f53f99d7f40b26
https://doi.org/10.1109/inventive.2016.7830197
https://doi.org/10.1109/inventive.2016.7830197
Autor:
R. Amrutha, Vandana M. Ladwani
Publikováno v:
2016 International Conference on Inventive Computation Technologies (ICICT).
We propose a system to identify Bharatanatyam hand gestures or Mudras. This involves a preprocessing stage which does a skin based segmentation to obtain the hand boundary. The feature extraction stage involves obtaining the chaincode of the entire c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd706ca1d48cc644c7fb5d19d89ce8b9
https://doi.org/10.1109/inventive.2016.7830202
https://doi.org/10.1109/inventive.2016.7830202
Autor:
Latesh Malik, Vandana M. Ladwani
Publikováno v:
ICETET
This paper makes an attempt to segment the handwritten Devnagari words. Segmentation of script is essential for handwritten script recognition. Segmentation affects recognition so accurate segmentation is important for implementing OCR. Little work h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4720170ef69724c17154fe4b59273595
https://doi.org/10.1109/icetet.2010.143
https://doi.org/10.1109/icetet.2010.143