Abstract
The internet revolution has made information acquisition easy and cheap and has been producing massive high-dimensional multimedia data, including text, audio, images, animation, video, etc. High-dimensional multimedia data bring new opportunities to modern society and challenges to researchers of the multimedia domain as well. The goal of this special issue is bridging the gap between machine learning methods and the real requirement of high-dimensional multimedia domain, aiming at gaining insight into the relationship between the current multimedia and the past ones, and also accurately predicting the future trends of multimedia data. Specifically, this special issue targeted the most recent technical progresses on learning techniques for high-dimensional multimedia data
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