Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
Automated Web usability analysis aims at obtaining a figure of the overall usability of a Web page or site by comparing objective page measures or indicators with statistical prof...
: In information retrieval, data fusion is a technique for combining the outputs of more than one retrieval strategy which rank documents for retrieval. One of the observations oft...
Eastman Kodak Company is using a scanner-based image quality measurement system to perform production line testing of the image quality of a high-quality thermal media based imagi...