Deep reinforcement learning has demonstrated its capability to solve a diverse array of challenging problems, which were not able to solve previously. It has been able to achieve human-level performance in Atari 2600 games and it has shown great p...
Deep learning-based techniques have been widely employed in solving various medical image analytical problems. Currently, most of these methods directly employ deep architectures from natural image scenarios without considering the specific struct...
Computer science, Artificial intelligence, Information science
Description
Deep Learning has been the go-to tool for text summarization in the recent times.Traditional deep learning research focuses on performing abstractive text summarizationwithout considering the user’s interests to personalize the summaries.This prob...
This dissertation addresses the problem of non-myopic online exploration and visual sensor coverage of large-scale unknown environments using an autonomous robot. We introduce a novel perception roadmap, referred to as the Active Perception Networ...
