A problem with many distributed applications is their behavior in lieu of unpredictable variations in user request volumes or in available resources. This paper explores a performa...
Abstract. A biologically inspired computational model of rodent representation–based (locale) navigation is presented. The model combines visual input in the form of realistic tw...
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas S...
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Abstract. This paper presents a method to generate unique and nevertheless highly random pseudonyms in a distributed environment. More precisely, each user can now generate his pse...
Abstract. Computer techniques have been leveraged to record human experiences in many public spaces, e.g. meeting rooms and classrooms. For the large amount of such records produce...