Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
The increasingly large amount of digital multimedia content has created a need for technologies to search and identify multimedia files. Multimedia fingerprinting has been widely ...
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Component-based software engineering is a paradigm aiming at better ways to reuse existing code and to distribute work across teams. Integrating UI components developed with diffe...
Physical-layer identification of wireless devices, commonly referred to as Radio Frequency (RF) fingerprinting, is the process of identifying a device based on transmission imperf...
Boris Danev, Heinrich Luecken, Srdjan Capkun, Kari...