Features from the Scale Invariant Feature Transformation (SIFT) are widely used for matching between spatially or temporally displaced images. Recently a topology on the SIFT featu...
We investigate the expressiveness of existing XML keyword search semantics and propose Meaningful Connected Network (MCN) as a new semantics to capture meaningful relationships of ...
Junfeng Zhou, Zhifeng Bao, Tok Wang Ling, Xiaofeng...
Previous research has demonstrated the utility of clustering in inducing semantic verb classes from undisambiguated corpus data. We describe a new approach which involves clusteri...
Quantifying the semantic relevance between questions and their candidate answers is essential to answer detection in social media corpora. In this paper, a deep belief network is ...
In this paper we address the problem of identifying a broad range of term variations in Japanese web search queries, where these variations pose a particularly thorny problem due ...