Kernel Orthogonal Nonnegative Matrix Factorization: Application to Multispectral Document Image Decomposition
As a nonlinear extension of the standard nonnegative matrix factorization [...]
Blind Decomposition of Multispectral Document Images Using Orthogonal Nonnegative Matrix Factorization
This paper addresses the challenge of Multispectral (MS) document image [...]
Weakly supervised bounding box extraction for unlabeled data in table detection
Most of the table detection tasks are using existing off- [...]
Energy-aware Control Of UAV-based Wireless Service Provisioning
Unmanned aerial vehicle (UAV)-assisted communications have several promising advantages, such [...]
Deep Reinforcement Learning for URLLC in 5G Mission-Critical Cloud Robotic Application
In this paper, we investigate the problem of robot swarm [...]
Deep Q-Learning for Joint Server Selection, Offloading, and Handover in Multi-access Edge Computing
In this paper, we propose a deep reinforcement learning (DRL) [...]
UAV Control for Wireless Service Provisioning in Critical Demand Areas: A Deep Reinforcement Learning Approach
In this paper, we investigate the problem of wireless service [...]
TaijiGNN: A New Cycle-Consistent Generative Neural Network for High-Quality Bidirectional Transformation between RGB and Multispectral Domains
Since multispectral images (MSIs) and RGB images (RGBs) have significantly [...]
A Two-Stage Unsupervised Deep Learning Framework for Degradation Removal in Ancient Documents
Processing historical documents is a complicated task in computer vision [...]
Simultaneous Detection of Regular Patterns in Ancient Manuscripts Using GAN-Based Deep Unsupervised Segmentation
Document Information Retrieval has attracted researchers’ attention when discovering secrets [...]