—Long time-series datasets are common in many domains, especially scientific domains. Applications in these fields often require comparing trajectories using similarity measure...
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
The top-k similarity joins have been extensively studied and used
in a wide spectrum of applications such as information retrieval, decision
making, spatial data analysis and dat...
In this paper, we present a novel framework to customize multimedia messages for mobile users. The goal is to generate a video message from a series of pictures. The framework inc...
Time series representations are common in MIR applications such as query-by-humming, where a sung query might be represented by a series of ‘notes’ for database retrieval. Whi...
Norman H. Adams, Mark A. Bartsch, Jonah Shifrin, G...