375 search results - page 7 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
137
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
We propose a nonparametric extension to the factor analysis problem using a beta process prior. This beta process factor analysis (BPFA) model allows for a dataset to be decompose...
145
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
111
Voted
CORR
2010
Springer
15 years 3 months ago
2010
Springer
Among the many ways to model signals, a recent approach that draws considerable attention is sparse representation modeling. In this model, the signal is assumed to be generated a...
113
Voted
AUSAI
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Programmers employing inference in Bayesian networks typically rely on the inclusion of the model as well as an inference engine into their application. Sophisticated inf...
103
Voted
SAC
2011
ACM
14 years 10 months ago
2011
ACM