Image databases are nowadays widely exploited in a number of different contexts, ranging from history of art, through medicine, to education. Existing querying paradigms are based ...
This paper presents a retrospective data analysis on how 75 clinicians searched for and accessed biomedical literature from an online information retrieval system to answer six cl...
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Based on the analysis of color histogram for image retrieval, a new descriptor, bit-plane distribution entropy (BPDE), is proposed in this paper. The image is firstly divided into ...
Abstract—CAN is a well-known DHT technique for contentbased P2P networks, where each node is assigned a zone in a virtual coordinate space to store the index of the data hashed i...