85 search results - page 8 / 17 » Stahel-Donoho estimation for high-dimensional data |
164
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ACL
2006
15 years 7 months ago
2006
This paper presents an unsupervised learning approach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. I...
156
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ITCC
2005
IEEE
15 years 12 months ago
2005
IEEE
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
188
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
190
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GRC
2008
IEEE
15 years 7 months ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
190
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Abstract. Fitting parameterized 3D shape and general reflectance models to 2D image data is challenging due to the high dimensionality of the problem. The proposed method combines ...