32 search results - page 3 / 7 » Semi-Supervised Structured Output Learning Based on a Hybrid... |
BMCBI
2008
13 years 4 months ago
2008
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
NIPS
2008
13 years 6 months ago
2008
Extensive labeled data for image annotation systems, which learn to assign class labels to image regions, is difficult to obtain. We explore a hybrid model framework for utilizing...
ICCV
2005
IEEE
14 years 6 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...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...