284 search results - page 6 / 57 » Discriminative probabilistic models for passage based retrie... |
ICCV
2005
IEEE
14 years 11 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
CVPR
2000
IEEE
14 years 11 months ago
2000
IEEE
In Proc. of IEEE Conf. on CVPR'2000, Vol.I, pp.222-227, Hilton Head Island, SC, 2000 In many vision applications, the practice of supervised learning faces several difficulti...
ICMCS
2005
IEEE
14 years 3 months ago
2005
IEEE
The goal of this communication is to present a weighted likelihood discriminant for minimum error shape classification. Different from traditional Maximum Likelihood (ML) methods...
MM
2009
ACM
14 years 4 months ago
2009
ACM
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
SIGIR
2008
ACM
13 years 9 months ago
2008
ACM
The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...