This paper presents a method for generating indexable and browsable keyword metadata from ASR transcripts by leveraging the Web. Search engine queries are built from an ASR transc...
Kishan Thambiratnam, Gang Li, Sha Meng, Frank Seid...
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
This work presents a technique of convincingly claiming ownership rights over a trajectory dataset. The presented methodology distorts imperceptibly a collection of sequences, effe...
This paper describes a referential semantic language model that achieves accurate recognition in user-defined domains with no available domain-specific training corpora. This mo...
This paper examines previous research on the topic of depth versus breath in hierarchical menu structures, and explains why searching for information on the world wide web follows...