We introduce a convex relaxation framework to optimally
minimize continuous surface ratios. The key idea is to minimize
the continuous surface ratio by solving a sequence
of con...
Kalin Kolev (University of Bonn), Daniel Cremers (...
This paper gives an overview of an architecture and search organization for large vocabulary, continuous speech recognition (LVCSR at RWTH). In the rst part of the paper, we descri...
Stefan Ortmanns, Lutz Welling, Klaus Beulen, Frank...
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
Surface pasting is a hierarchical modeling technique capable of adding local details to tensor product Bspline surfaces without incurring significant computational costs. In this...
This paper connects the definitional interpreter for the λ-calculus extended with delimited continuation constructs, shift and reset, with a compiler and a low-level virtual mac...