We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
Abstract. We describe a novel approach to view interpolation from image sequences based on probabilistic depth carving. This builds a multivalued representation of depth for novel ...
Location-based services and data mining algorithms analyzing objects moving on a complex traffic network are becoming increasingly important. In this paper, we introduce a new app...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
Query optimizers use base-table statistics to derive statistics on the sub-plans that are enumerated during optimization. In practice, traditional optimizers rely on a number of s...
In this paper, we introduce dynamic histograms, which are constructed and maintained incrementally. We develop several dynamic histogram construction algorithms and show that they...
Donko Donjerkovic, Yannis E. Ioannidis, Raghu Rama...