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SPEECH
1998
118views more  SPEECH 1998»
15 years 2 months ago
Dimensionality reduction of electropalatographic data using latent variable models
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
Miguel Á. Carreira-Perpiñán, ...
ICDM
2005
IEEE
126views Data Mining» more  ICDM 2005»
15 years 8 months ago
Text Representation: From Vector to Tensor
In this paper, we propose a text representation model, Tensor Space Model (TSM), which models the text by multilinear algebraic high-order tensor instead of the traditional vector...
Ning Liu, Benyu Zhang, Jun Yan, Zheng Chen, Wenyin...
PRICAI
2004
Springer
15 years 8 months ago
Pronominal Anaphora Resolution Using a Shallow Meaning Representation of Sentences
This paper describes a knowledge-poor anaphora resolution approach based on a shallow meaning representation of sentences. The structure afforded in such a representation provides ...
Hilda Ho, Kyongho Min, Wai-Kiang Yeap
CCR
1999
110views more  CCR 1999»
15 years 2 months ago
Independent active program representation using ASN. 1
act Syntax Notation One (ASN.1) can be used as a common substrate for representing active programs. An active networking framework, using ASN.1 whereby any active network solution ...
Brad Williamson, Craig Farrell
CVPR
2010
IEEE
15 years 11 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li