Priyabrata Karmakar

Orcid: 0000-0001-8015-1375

According to our database1, Priyabrata Karmakar authored at least 11 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Efficient motion modelling with variable-sized blocks from hierarchical cuboidal partitioning.
Multim. Tools Appl., 2024

2022
A Guide to Employ Hyperspectral Imaging for Assessing Wheat Quality at Different Stages of Supply Chain in Australia: A Review.
CoRR, 2022

2021
A novel fusion approach in the extraction of kernel descriptor with improved effectiveness and efficiency.
Multim. Tools Appl., 2021

Thank you for Attention: A survey on Attention-based Artificial Neural Networks for Automatic Speech Recognition.
CoRR, 2021

2020
An Enhancement to the Spatial Pyramid Matching for Image Classification and Retrieval.
IEEE Access, 2020

2018
A Kernel-Based Approach for Content-Based Image Retrieval.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

Enhanced Colour Image Retrieval with Cuboid Segmentation.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

2017
Improved Tamura Features for Image Classification Using Kernel Based Descriptors.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Improved Kernel Descriptors for Effective and Efficient Image Classification.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016
Combining Pyramid Match Kernel and Spatial Pyramid for Image Classification.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2015
Rotation Invariant Spatial Pyramid Matching for Image Classification.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015


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