2 citations · 7 across the 9 of their papers we have counts for
4 papers · 1 filter
Graph Neural Network based Handwritten Trajectories Recognition
Anuj Sharma, Sukhdeep Singh, S Ratna
The graph neural networks has been proved to be an efficient machine learning technique in real life applications. The handwritten recognition is one of the useful area in real lif…
GatedLexiconNet: A Comprehensive End-to-End Handwritten Paragraph Text Recognition System
Lalita Kumari, Sukhdeep Singh, Vaibhav Varish Singh Rathore +1
The Handwritten Text Recognition problem has been a challenge for researchers for the last few decades, especially in the domain of computer vision, a subdomain of pattern recognit…
An inclusive review on deep learning techniques and their scope in handwriting recognition
Sukhdeep Singh, Sudhir Rohilla, Anuj Sharma
Deep learning expresses a category of machine learning algorithms that have the capability to combine raw inputs into intermediate features layers. These deep learning algorithms h…
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks
Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan
Graph Neural Networks (GNN) have emerged as a popular and standard approach for learning from graph-structured data. The literature on GNN highlights the potential of this evolving…