613 search results - page 79 / 123 » Learning the Structure of Linear Latent Variable Models |
174
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ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
188
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CORR
2011
Springer
15 years 1 months ago
2011
Springer
We introduce streaming tree transducers as an analyzable and expressive model for transforming hierarchically structured data in a single pass. Given a linear encoding of the inpu...
207
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ICANN
2009
Springer
15 years 3 months ago
2009
Springer
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
177
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KDD
2009
ACM
16 years 6 months ago
2009
ACM
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for char...
189
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NIPS
2003
15 years 7 months ago
2003
The problem of “Structure From Motion” is a central problem in vision: given the 2D locations of certain points we wish to recover the camera motion and the 3D coordinates of ...