We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Traditional approaches for efficiently processing historical queries, where a history is a multidimensional timeseries, employ a two step filter-and-refine scheme. In the filter s...
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
This paper addresses the multiplexing loss that occurs in relay networks due to causality of relays and the halfduplex constraint. We devise relay selection methods to recover the ...