1731 search results - page 39 / 347 » Maximum likelihood analysis of algorithms and data structure... |
148
Voted
ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
138
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
149
Voted
TSP
2010
14 years 10 months ago
2010
Abstract--We derive a class of algorithms for independent component analysis (ICA) based on maximum likelihood (ML) estimation and perform stability analysis of natural gradient ML...
140
Voted
SODA
2012
ACM
13 years 6 months ago
2012
ACM
We describe a data structure for submatrix maximum queries in Monge matrices or Monge partial matrices, where a query specifies a contiguous submatrix of the given matrix, and it...
136
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
This paper gives an efficient Bayesian method for inferring the parameters of a PlackettLuce ranking model. Such models are parameterised distributions over rankings of a finite s...