With the proliferation of online services and mobile technologies, the world has stepped into
a multimedia big data era. A vast amount of research work has been done in the multimedia …

A standard screening procedure involves video endoscopy of the Gastrointestinal tract. It is a
less invasive method which is practiced for early diagnosis of gastric diseases. Manual …

This paper proposes a novel methodology for automatic detection and localization of
gastrointestinal (GI) anomalies in endoscopic video frame sequences. Training is performed …

Image analysis is a prolific field of research which has been broadly studied in the last
decades, successfully applied to a great number of disciplines. Since the apparition of Big …

Sparse regression based feature selection method has been extensively investigated these
years. However, because it has a non-convex constraint, ie, ℓ_2,0 ℓ2, 0-norm constraint, this …

Cloud service selection, a promising research directive provides an intelligent solution via.
service ranking based on the Quality of Service (QoS) attributes for the identification of …

Traditional feature selection algorithms usually explore the relationship between data and
cluster structure in a single space, so the internal relationship obtained is not very rich, and it …

In this paper, we propose a novel Fully Convolutional Neural Network (FCN) architecture
aiming to aid the detection of abnormalities, such as polyps, ulcers and blood, in …

Linear discriminant analysis (LDA) is one of commonly used supervised subspace learning
methods. However, LDA will be powerless faced with the no-label situation. In this paper, the …

The proliferation of multimedia devices over the Internet of Things (IoT) generates an
unprecedented amount of data. Consequently, the world has stepped into the era of big …