31 search results - page 1 / 7 » A Novel Bayesian Method for Fitting Parametric and Non-Param... |
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
AAAI
2008
13 years 10 months ago
2008
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
ISBI
2004
IEEE
14 years 8 months ago
2004
IEEE
We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests. In order to evaluate morphologicaldifferences of brain str...
JMLR
2012
11 years 10 months ago
2012
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...