In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for seman...
Parallel factor (PARAFAC) analysis is an extension of a low rank decomposition to higher way arrays, usually called tensors. Most of existing methods are based on an alternating l...
— Previous studies on supporting keyword queries in RDBMSs provide users with a ranked list of relevant linked structures (e.g. joined tuples) or individual tuples. In this paper...
Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, C...
We investigate the problem of ranking all process models in a repository according to their similarity with respect to a given process model. We focus specifically on the applicat...
Remco M. Dijkman, Marlon Dumas, Luciano Garc&iacut...
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...