Deep learning technology has been extensively explored in pattern recognition and image
processing areas. A multi-mode medical image fusion with deep learning will be proposed …

The rise of machine learning increases the current computing capabilities and paves the
way to novel disruptive applications. In the current era of big data, the application of image …

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 article proposes a multimode medical image fusion with CNN and supervised learning,
in order to solve the problem of practical medical diagnosis. It can implement different types …

Signature forgery is at the centre of several fraudulent activities and legal battles. The
introduction of 3D signatures, the virtual signing of ones name in the air, has the potential to …

With the advent of technology, digital image watermarking turns to be an effective technique
to protect digital images from illegal usages and manipulation. In digital image …

Medical image processing is the most challenging and emerging field nowadays. Magnetic
Resonance Images (MRI) act as the source for the development of classification system. The …

With the development of different image capturing devices, huge amount of complex images
are being produced everyday. Easy access to such images requires proper arrangement …

In the machine learning problems, the performance measure is used to evaluate the
machine learning models. Recently, the number positive data points ranked at the top …

Ranking score plays an important role in the system of content-based retrieval. Given a
query, the database items are ranked according to the ranking scores in a descending order …