For categorical data there does not exist any similarity measure which is as straight forward and general as the numerical distance between numerical items. Due to this it is ofte...
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
Abstract. Reliable object detection and segmentation is crucial for active safety driver assistance applications. In urban areas where the object density is high, a segmentation ba...
Nico Kaempchen, Markus Zocholl, Klaus C. J. Dietma...
This work tackles the categorization of general linear radial patterns by means of the valleys and ridges detection and the use of descriptors of directional information, which are...
Rich media social networks promote not only creation and consumption of media, but also communication about the posted media item. What causes a conversation to be interesting, th...