Due to an increased awareness of ecological protection and resultant stringent legislations,
business organizations are highly motivated to improve the sustainable performance of their …

For the purpose of realizing an intelligent and highly accurate diagnosis system for neuro-
degenerative diseases (NDD), such as amyotrophic lateral sclerosis (ALS), Parkinson's …

In this paper, we work towards linking users' identities on different social media platforms by
exploring the user-generated contents (UGCs). This task is non-trivial due to the following …

To achieve real-time online search, most image retrieval methods aim to learn compact
feature representation while keeping their semantic information or intra-class relevance. In …

The design and development of robotic agents to be deployed in the real world for human-
robot interaction (HRI) purpose require adequate robot architecture. In this paper, we …

Convolutional neural networks are built upon simple but useful convolution modules. The
traditional convolution has a limitation on feature extraction and object localization due to its …

Similarity analysis is a powerful tool for shape matching/retrieval and other computer vision
tasks. In the literature, various shape (dis) similarity measures have been introduced …

In this paper, we propose a new approach for automatic image annotation (AIA) in order to
automatically and efficiently assign linguistic concepts to visual data such as digital images …

Retrieval based on query images supports interesting applications in handwritten document
analysis, such as checking manuscripts originality, and authorship. In this respect, writer …

This paper proposes a graph building algorithm that transforms geo-location data into a
network graph, which could be useful for applications involving navigation aids or robotics …