17 search results - page 3 / 4 » Sparsity And Morphological Diversity For Hyperspectral Data ... |
NIPS
2008
13 years 6 months ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Motivated by numerous applications in which the data may be modeled by a variable subscripted by three or more indices, we develop a tensor-based extension of the matrix CUR decom...
NAACL
2007
13 years 6 months ago
2007
We analyze subword-based language models (LMs) in large-vocabulary continuous speech recognition across four “morphologically rich” languages: Finnish, Estonian, Turkish, and ...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Hierarchies are an intuitive and effective organization paradigm for data. Of late there has been considerable research on automatically learning hierarchical organizations of dat...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...