Latest Publications
Unsupervised exemplar-based learning for improved document image classification
Many recent state-of-the-art approaches for document image classification are based on supervised feature learning that requires a large amount of labeled training data. In real-world problem of document image classification, the available amount of labeled data is limited and scarce […]
Weakly supervised bounding box extraction for unlabeled data in table detection
Most of the table detection tasks are using existing off-
the-shelf methods for their detection algorithm. However, datasets that
are used for evaluation are not challenging enough due to the lack of
quantity and diversity. To have a better comparison between proposed
methods we […]
Game Theoretic Reinforcement Learning Framework For Industrial Internet of Things
The fifth-generation (5G) wireless network provides high-rate, ultra-low latency, and high-reliability connections that can meet the industrial IoT requirements in factory automation, especially for swarm robotics communication. In this paper, we address 5G service provisioning in an automated warehouse scenario […]
