31 search results - page 1 / 7 » A Novel Bayesian Method for Fitting Parametric and Non-Param... |
CVPR
1999
IEEE
14 years 7 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 7 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 1 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 5 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 7 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...