The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Abstract. Aiming to build a complete benchmark for better evaluation of existing ontology systems, we extend the well-known Lehigh University Benchmark in terms of inference and sc...
Li Ma, Yang Yang, Zhaoming Qiu, Guo Tong Xie, Yue ...
Abstract--We describe some high-level approaches to estimating confidence scores for the words output by a speech recognizer. By "high-level" we mean that the proposed me...
Recent web search techniques augment traditional text matching with a global notion of "importance" based on the linkage structure of the web, such as in Google's P...
For memory constrained embedded systems code size is at least as important as performance. One way of increasing code density is to exploit compact instruction formats, e.g. ARM T...