This paper explores the issues involved in using symbolic metric algorithms for automatic speech recognition (ASR), via a structural representation of speech. This representation ...
We present a method to measure the amount of structural distortion carried by an alignment between two taxonomic cores of ontologies represented as semantic hierarchies. We present...
We present a generative model for the unsupervised learning of dependency structures. We also describe the multiplicative combination of this dependency model with a model of line...
Toric codes are obtained by evaluating rational functions of a nonsingular toric variety at the algebraic torus. One can extend toric codes to the so called generalized toric code...
This thesis presented a framework of the possible combination of approaches for low-level program slicing-baseddependence analysis and high-level concept assignment. Three combina...