Abstract—In this paper, three approaches to utilizing objectlevel spatial contextual information for semantic image analysis are presented and comparatively evaluated. Contextual...
Georgios Th. Papadopoulos, Carsten Saathoff, Hugo ...
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aid...
Stefan Brecheisen, Hans-Peter Kriegel, Peer Kr&oum...
The increased use of ubiquitous computing devices is resulting in networks that are highly mobile, well connected and growing in processing and storage capabilities. The nature of ...
Rudi Ball, James Grant, Jonathan So, Victoria Spur...
Abstract— We have used measurements taken on real network to enhance the performance of our radio network planning tool. A distribution learning technique is adopted to realize t...