1957 search results - page 162 / 392 » Approximate algorithms for neural-Bayesian approaches |
BILDMED
2008
14 years 11 months ago
2008
Abstract. We present a method to improve the quality of common sinogram restoration algorithms, which are used for metal-artifact reduction in X-ray CT. The presented approach is b...
DICTA
2003
14 years 11 months ago
2003
In this paper we review a number of approaches to reducing, or removing, the problem of shift variance in the discrete wavelet transform (DWT). We describe a generalization of the ...
NIPS
2004
14 years 11 months ago
2004
Regularization plays a central role in the analysis of modern data, where non-regularized fitting is likely to lead to over-fitted models, useless for both prediction and interpre...
NAACL
2010
14 years 8 months ago
2010
We treat the text summarization problem as maximizing a submodular function under a budget constraint. We show, both theoretically and empirically, a modified greedy algorithm can...
TNN
1998
14 years 9 months ago
1998
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...