Towards geospatial semantic search: exploiting latent semantic relations in geospatial data Wenwen Li a , Michael F. Goodchild b & Robert Raskin c a GeoDa Center for Geospatial Analysis and Computation, School of Geographical Science and Urban Planning, Arizona State University, Tempe, AZ, USA b Center for Spatial Studies (Spatial@UCSB), University of California, Santa Barbara, CA, USA c NASA J...

Objectives: Anomia is one of the most common and persistent symptoms of aphasia. Although treatments of anomia usually focus on semantic and/or phonological levels, which both have been demonstrated to be effective, the relationship between the underlying functional deficit in naming and response to a particular treatment approach remains unclear. The aim of this study was to determine the rela...

This paper proposes an improved approach to extractive summarization of spoken multi-party interaction, in which integrated random walk is performed on a graph constructed on topical/ lexical relations. Each utterance is represented as a node of the graph, and the edges’ weights are computed from the topical similarity between the utterances, evaluated using probabilistic latent semantic analys...

This paper proposes an improved approach for spoken lecture summarization, in which random walk is performed on a graph constructed with automatically extracted key terms and probabilistic latent semantic analysis (PLSA). Each sentence of the document is represented as a node of the graph and the edge between two nodes is weighted by the topical similarity between the two sentences. The basic i...

In this work, we have presented a novel method for detection of retinal image features, the optic disc and the fovea, from colour fundus photographs of dilated eyes for Computeraided Diagnosis(CAD) system. A saliency map based method was used to detect the optic disc followed by an unsupervised probabilistic Latent Semantic Analysis for detection validation. The validation concept is based on d...

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Background: Verbal fluency tasks, which require producing as many words in response to a cue in a fixed time, are widely used within clinical neuropsychology and in neuropsychological research. Although semantic word lists can be elicited, typically only the number of words related to the cue is interpreted thus ignoring any structure in the word sequences. Automated language techniques can pro...