193 search results - page 38 / 39 » Approximate Maximum Parsimony and Ancestral Maximum Likeliho... |
ISBI
2004
IEEE
15 years 11 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...
77
Voted
IMC
2006
ACM
15 years 4 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...
110
Voted
NIPS
2001
14 years 11 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
14 years 11 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...
104
Voted
ICA
2010
Springer
14 years 11 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...