598 search results - page 32 / 120 » Learning Generative Models with the Up-Propagation Algorithm |
ICARCV
2008
IEEE
14 years 2 months ago
2008
IEEE
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
SIGIR
2012
ACM
11 years 10 months ago
2012
ACM
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
GECCO
2009
Springer
14 years 10 days ago
2009
Springer
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
PCI
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. It has been recently demonstrated that the classical EM algorithm for learning Gaussian mixture models can be successfully implemented in a decentralized manner by resort...
DAC
2003
ACM
14 years 8 months ago
2003
ACM
Bounded Model Checking (BMC) based on Boolean Satisfiability (SAT) procedures has recently gained popularity as an alternative to BDD-based model checking techniques for finding b...