417 search results - page 71 / 84 » Bayesian inference in estimation of distribution algorithms |
VLDB
2001
ACM
14 years 8 days ago
2001
ACM
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...
PAMI
2010
13 years 6 months ago
2010
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
CVPR
2007
IEEE
2007
IEEE
Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video
14 years 9 months ago
We present a scalable approach to recognizing and describing complex activities in video sequences. We are interested in long-term, sequential activities that may have several par...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...