Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
This paper presents a generative human motion model for synthesis, retargeting, and editing of personalized human motion styles. We first record a human motion database from mult...
How to measure and model the similarity between different music items is one of the most fundamental yet challenging research problems in music information retrieval. This paper ...
Bingjun Zhang, Qiaoliang Xiang, Ye Wang, Jialie Sh...
The retrieval performance of content-based image retrieval (CBIR) systems is often disappointingly low, mainly due to the subjectivity of human perception. Relevance feedback (RF)...
Sotirios Chatzis, Anastasios D. Doulamis, Theodora...
This paper presents a novel approach (1) to define, analyze, and map a scientific discipline and (2) to compare and map the expertise of single authors based on personal bibliogra...