387 search results - page 35 / 78 » The choice uncertainty principle |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
MICCAI
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. We propose a semi-supervised, kinetic modeling based segmentation technique for molecular imaging applications. It is an iterative, self-learning algorithm based on uncer...
ICTIR
2009
Springer
14 years 2 months ago
2009
Springer
We introduce perturbation kernels, a new class of similarity measure for information retrieval that casts word similarity in terms of multi-task learning. Perturbation kernels mode...
ECAI
2004
Springer
14 years 1 months ago
2004
Springer
We present a framework for annotating dynamic scenes involving occlusion and other uncertainties. Our system comprises an object tracker, an object classifier and an algorithm for...
FTRTFT
1998
Springer
14 years 6 days ago
1998
Springer
Predictability is crucial in critical applications and systems. Therefore, we examine sources of uncertainty for each of the four phases that span a project lifecycle, from initial...