Understanding of any computing environment requires familiarity with its underlying
technologies. Internet of Things (IoT), being a new era of computing in the digital world, aims …

In the era of big data, recommender system (RS) has become an effective information
filtering tool that alleviates information overload for Web users. Collaborative filtering (CF) …

Spectral clustering (SC) has been widely applied to various computer vision tasks, where
the key is to construct a robust affinity matrix for data partitioning. With the increase in visual …

Spectral clustering (SC) has been proven to be effective in various applications. However,
the learning scheme of SC is suboptimal in that it learns the cluster indicator from a fixed …

Compared with the traditional text data, multimedia data are concise and contains rich
meanings, so people are more willing to use the multimedia data to store information. How …

This paper considers the problem of multi-label thorax disease classification on chest X-ray
images. Identifying one or more pathologies from a chest X-ray image is often hindered by …

Despite the large body of work on fingerprint identification systems, most of it focused on
using specialized devices. Due to the high price of such devices, some researchers directed …

The widespread usage of surveillance cameras in smart cities has resulted in a gigantic
volume of video data whose indexing, retrieval and management is a challenging issue …

In the past, 2D models were the main models for medical image processing applications,
whereas the wide adoption of 3D models has appeared only in recent years. The 2D Fuzzy …

Efficient medical image sampling and transferring becomes one of key research areas in
computer science and healthcare application industries. In particular, the technique of body …