Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
There exist well established models for anonymity focusing on traffic analysis, i. e., analysing properties of single messages as, e. g., timing. However there is only little work ...
In this work, we present a conceptual framework for deriving executable business process models from high-level, graphical business process models based on the paradigm of Service-...
Incorporating probabilities into the semantics of incomplete databases has posed many challenges, forcing systems to sacrifice modeling power, scalability, or treatment of relatio...
We present a simple lossless audio codec, composed of an integer-reversible modulated lapped transform (MLT) followed by a backward-adaptive run-length/Golomb-Rice (RLGR) encoder....