A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Batch Mode Sparse Active Learning
2010
2010 IEEE International Conference on Data Mining Workshops
Sparse representation, due to its clear and powerful insight deep into the structure of data, has seen a recent surge of interest in the classification community. Based on this, a family of reliable classification methods have been proposed. On the other hand, obtaining sufficiently labeled training data has long been a challenging problem, thus considerable research has been done regarding active selection of instances to be labeled. In our work, we will present a novel unified framework, i.e.
doi:10.1109/icdmw.2010.175
dblp:conf/icdm/ShiZ10
fatcat:fuqc45ykgvd37bkptyf6ydomse