We introduce a new definition of privacy called crowd-blending privacy that strictly relaxes the notion of differential privacy. Roughly speaking, k-crowd blending private saniti...
Johannes Gehrke, Michael Hay, Edward Lui, Rafael P...
Abstract—This paper presents the GeoFeed system; a locationaware news feed system that provides a new platform for its users to get spatially related message updates from either ...
Progress in action recognition has been in large part due to advances in the features that drive learning-based methods. However, the relative sparsity of training data and the ri...
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
: An inverse iterative algorithm for microwave imaging based on moment method solution is presented here. The iterative scheme has been developed on constrained optimization techni...
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
In survey statistics, simulation studies are usually performed by repeatedly drawing samples from population data. Furthermore, population data may be used in courses on survey sta...
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and ...
Koenraad Van Leemput, Tim Van den Bulcke, Thomas D...
As the amount of online shoppers grows rapidly, the need of recommender systems for e-commerce sites are demanding, especially when the number of users and products being offered o...
In this paper we investigated the applicability of commonly used white-balancing algorithms to restoring faded photographic colour slides. We have used three sets of synthetic data...
Dennis Nikitenko, Michael A. Wirth, Kataline Trude...