219 search results - page 20 / 44 » Learning the Dimensionality of Hidden Variables |
KDD
2007
ACM
16 years 4 days ago
2007
ACM
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
100
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NIPS
1998
15 years 1 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
KDD
2009
ACM
16 years 8 days ago
2009
ACM
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
105
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GMP
2006
IEEE
15 years 5 months ago
2006
IEEE
Abstract. We present an efficient and robust algorithm for computing continuous visibility for two- or three-dimensional shapes whose boundaries are NURBS curves or surfaces by li...
150
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...