Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
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Rong Jin (Michigan State University), Shijun Wang...
In this paper we describe our TRECVID 2007 experiments. The MediaMill team participated in two tasks: concept detection and search. For concept detection we extract regionbased im...
Cees G. M. Snoek, I. Everts, Jan van Gemert, Jan-M...
The UCSC Cancer Genomics Browser (https:// genome-cancer.ucsc.edu) comprises a suite of web-based tools to integrate, visualize and analyze cancer genomics and clinical data. The ...
J. Zachary Sanborn, Stephen C. Benz, Brian Craft, ...
The long-term goals of the recently started Biomedia project at SFSU are to provide multimedia information systems and applications for the research and education needs of several...
E. Lank, Dragutin Petkovic, F. A. Ramirez-Weber, J...
Mobile vision services are a type of mobile ITS applications that emerge with increased miniaturization of sensor and computing devices, such as in camera equipped mobile phones, ...