Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
Nowadays, Architecture Description Languages (ADLs) are getting popular to speed up the development of complex SoC design, by performing the design space explon a higher level of ...
Oliver Schliebusch, Anupam Chattopadhyay, Ernst Ma...
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Distributed systems are becoming a popular way of implementing many embedded computing applications, automotive control being a common and important example. Such embedded systems...
We present an identity-based cryptosystem that features fully anonymous ciphertexts and hierarchical key delegation. We give a proof of security in the standard model, based on the...