Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mickäel Coustaty"'
Autor:
Mujtaba Husnain, Malik Muhammad Saad Missen, Shahzad Mumtaz, Dost Muhammad Khan, Mickäel Coustaty, Muhammad Muzzamil Luqman, Jean-Marc Ogier, Hizbullah Khattak, Sikandar Ali, Ali Samad
Publikováno v:
Complexity, Vol 2021 (2021)
In this paper, we make use of the 2-dimensional data obtained through t-Stochastic Neighborhood Embedding (t-SNE) when applied on high-dimensional data of Urdu handwritten characters and numerals. The instances of the dataset used for experimental wo
Externí odkaz:
https://doaj.org/article/79392714b2574f2f992636cadc10199a
Autor:
Rajat Sahay, Mickael Coustaty
Publikováno v:
IEEE Access, Vol 11, Pp 33682-33696 (2023)
Few shot models have started to gain a lot of popularity in the past few years. This is mostly because these models grant the ability to structure the representation space (classes) using a very less amount of examples for each class. Such models are
Externí odkaz:
https://doaj.org/article/47f8aacc0f9a4268976c3b62ac0b7660
Publikováno v:
IEEE Access, Vol 9, Pp 99103-99111 (2021)
Graph-based methods have been widely used by the document image analysis and recognition community, as the different objects and the content in document images is best represented by this powerful structural representation. Designing of novel computa
Externí odkaz:
https://doaj.org/article/b8c71d3d08394a088b45cf1d00909767
Autor:
Mujtaba Husnain, Malik Muhammad Saad Missen, Shahzad Mumtaz, Mickaël Coustaty, Muzzamil Luqman, Jean‐Marc Ogier
Publikováno v:
IET Image Processing, Vol 14, Iss 11, Pp 2291-2300 (2020)
Work on the problem of handwritten text recognition in Urdu script has been an active research area. A significant progress is made in this interesting and challenging field in the last few years. In this study, the authors presented a comprehensive
Externí odkaz:
https://doaj.org/article/5bef74dd6423405b8489cf6335ef4004
Autor:
Nadeem Iqbal Kajla, Malik Muhammad Saad Missen, Muhammad Muzzamil Luqman, Mickael Coustaty, Arif Mehmood, Gyu Sang Choi
Publikováno v:
IEEE Access, Vol 8, Pp 201752-201761 (2020)
The recent success of graph neural networks (GNNs) in the area of pattern recognition (PR) has increased the interest of researchers to use these frameworks in non-euclidean structures. This non-euclidean structure includes graphs or manifolds that a
Externí odkaz:
https://doaj.org/article/27d9ff7def4f41c383296db798fc6d5c
Autor:
Mohammed Attik, Malik Muhammad Saad Missen, Mickaël Coustaty, Gyu Sang Choi, Fahd Saleh Alotaibi, Nadeem Akhtar, Muhammad Zeeshan Jhandir, V. B. Surya Prasath, Nadeem Salamat, Mujtaba Husnain
Publikováno v:
Symmetry, Vol 12, Iss 2, p 187 (2020)
The authors wish to make the following corrections to their paper [...]
Externí odkaz:
https://doaj.org/article/295c1f59ae0d4073aa5bc62de2a446e9
Autor:
Mujtaba Husnain, Malik Muhammad Saad Missen, Shahzad Mumtaz, Muhammad Zeeshan Jhanidr, Mickaël Coustaty, Muhammad Muzzamil Luqman, Jean-Marc Ogier, Gyu Sang Choi
Publikováno v:
Applied Sciences, Vol 9, Iss 13, p 2758 (2019)
In the area of pattern recognition and pattern matching, the methods based on deep learning models have recently attracted several researchers by achieving magnificent performance. In this paper, we propose the use of the convolutional neural network
Externí odkaz:
https://doaj.org/article/7b4a94e9ca1540d2a3d305895bbed42c
Autor:
Malik Muhammad Saad Missen, Mickaël Coustaty, Gyu Sang Choi, Fahd Saleh Alotaibi, Nadeem Akhtar, Muhammad Zeeshan Jhandir, V. B. Surya Prasath, Nadeem Salamat, Mujtaba Husnain
Publikováno v:
Symmetry, Vol 11, Iss 4, p 545 (2019)
It is the age of the social web, where people express themselves by giving their opinions about various issues, from their personal life to the world’s political issues. This process generates a lot of opinion data on the web that can be processed
Externí odkaz:
https://doaj.org/article/6387a82bfd1640278f6d20a42c4e6428
Autor:
Mujtaba Husnain, Malik Muhammad Saad Missen, Shahzad Mumtaz, Muhammad Muzzamil Luqman, Mickaël Coustaty, Jean-Marc Ogier
Publikováno v:
Symmetry, Vol 11, Iss 1, p 107 (2019)
We applied t-distributed stochastic neighbor embedding (t-SNE) to visualize Urdu handwritten numerals (or digits). The data set used consists of 28 × 28 images of handwritten Urdu numerals. The data set was created by inviting authors from different
Externí odkaz:
https://doaj.org/article/3c500f5bb1a9401b83c2898c18ecb52c