Abstract. This paper proposes a novel method for speaker identification based on both speech utterances and their transcribed text. The transcribed text of each speaker's utte...
Abstract. This paper presents a novel technique for learning the underlying structure that links visual observations with semantics. The technique, inspired by a text-retrieval tec...
Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser...
Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of count data. Fit...
A dual probability model is constructed for the Latent Semantic Indexing LSI using the cosine similarity measure. Both the document-document similarity matrix and the term-term ...
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
This paper describes the simulation of a foraging agent in an environment with a simple ecological structure, alternatively using one of three different control systems with varyi...
We exploit the retrieval of visual information from biomedical scientific publication databases. Therefore, we consider the use of domain specific genres to automatically subdiv...
Jan-Mark Geusebroek, Minh Anh Hoang, Jan van Gemer...
Abstract. This paper proposes the use of Latent Semantic Indexing (LSI) techniques, decomposed with semi-discrete matrix decomposition (SDD) method, for text categorization. The SD...
The exponential growth of data demands scalable infrastructures capable of indexing and searching rich content such as text, music, and images. A promising direction is to combine...
Latent Semantic Indexing (LSI) is a well established and effective framework for conceptual information retrieval. In traditional implementations of LSI the semantic structure of...