Ordinal embedding aims at finding a low dimensional representation of objects from set constraints the form ”item j is closer to item i than k”. Typically, each object mapped onto point vector in metric space. We argue that mapping density instead provides some interesting advantages, including an inherent reflection uncertainty about itself and its relative location Indeed, this paper, we prop...

To facilitate information retrieval of large-scale music databases, the detection of musical concepts, or auto-tagging, has been an active research topic. This paper concerns the use of concept correlations to improve musical concept detection. We propose to formulate concept detection as an ordinal regression problem to explicitly take advantage of the ordinal relationship between concepts and...

OBJECTIVE To evaluate test-retest reliability of social network-related information of the" Pr -Sa de" study. METHODS A test-retest reliability study was conducted using a multidimensional questionnaire applied to a cohort of university employees. The same questionnaire was filled out twice by 192 non-permanent employees with two weeks apart. Agreement was estimated using kappa statistics (ca...