193 search results - page 38 / 39 » Approximate Maximum Parsimony and Ancestral Maximum Likeliho... |
ISBI
2004
IEEE
14 years 6 months ago
2004
IEEE
The techniques described in this paper allow multiscale photon-limited image reconstruction methods to be implemented with significantly less computational complexity than previou...
IMC
2006
ACM
13 years 11 months ago
2006
ACM
Packet sampling is widely used in network monitoring. Sampled packet streams are often used to determine flow-level statistics of network traffic. To date there is conflicting e...
NIPS
2001
13 years 6 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
NIPS
1998
13 years 6 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...
ICA
2010
Springer
13 years 6 months ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...