This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
In this paper we introduce a novel optimization framework for hierarchical data clustering and apply it to the problem of unsupervised texture segmentation. The proposed objective...
Hierarchical clustering is used widely to organize data and search for patterns. Previous algorithms assume that the body of data being clustered is fixed while the algorithm runs...
H. Van Dyke Parunak, Richard Rohwer, Theodore C. B...
The advent of the mobile age has heavily changed the requirements of today’s communication devices. Data transmission over interference-prone wireless channels requires addition...
Andreas Genser, Christian Bachmann, Christian Steg...
Abstract. This paper presents a design-space exploration of the Galois/Counter Mode (GCM) algorithm with Advanced Encryption Standard (AES) as underlying block cipher for high thro...
Stefan Lemsitzer, Johannes Wolkerstorfer, Norbert ...