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» Structural Topic Model for Latent Topical Structure Analysis
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ECIR
2008
Springer
13 years 10 months ago
Filaments of Meaning in Word Space
Word space models, in the sense of vector space models built on distributional data taken from texts, are used to model semantic relations between words. We argue that the high dim...
Jussi Karlgren, Anders Holst, Magnus Sahlgren
ISMIS
2005
Springer
14 years 2 months ago
A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...
ICMI
2009
Springer
123views Biometrics» more  ICMI 2009»
14 years 3 months ago
Learning and predicting multimodal daily life patterns from cell phones
In this paper, we investigate the multimodal nature of cell phone data in terms of discovering recurrent and rich patterns in people’s lives. We present a method that can discov...
Katayoun Farrahi, Daniel Gatica-Perez
SIGIR
2006
ACM
14 years 3 months ago
Why structural hints in queries do not help XML-retrieval
For many years it has been commonly held that a user who adds structural “hints” to a query will improve precision in an element retrieval search. At INEX 2005 we conducted an...
Andrew Trotman, Mounia Lalmas
DMIN
2006
160views Data Mining» more  DMIN 2006»
13 years 10 months ago
MF-tree: Extracting and Clustering the Structural Features from Music Object in MusicXML
In the music information retrieval field, the most important topic is to extract the feature which represents the content from the music objects. The content feature is useful for ...
Yu-Chih Shen, Jia-Lien Hsu, Shuk-Chun Chung