—Ordinal regression (OR – also known as ordinal classification) has received increasing attention in recent times, due to its importance in IR applications such as learning to...
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...
Ordinal regression has become an effective way of learning user preferences, but most of research only focuses on single regression problem. In this paper we introduce collaborati...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
Palmprint recognition, as one of the most promising biometrics, has received considerable recent biometric research interest. Among various palmprint recognition techniques, codin...
Feng Yue, Wangmeng Zuo, Kuanquan Wang, David Zhang
We propose an ordinal-basedmeasure of image similarity. Thismeasureisbased on a recentlydevelopedgeneralframework for image correspondence and incorporates regionbased spatial inf...
In this paper, we are interested in the qualitative knowledge that underlies some given probabilistic information. To represent such qualitative structures, we use ordinal conditi...
Gabriele Kern-Isberner, Matthias Thimm, Marc Finth...