59 search results - page 10 / 12 » A Bayesian Hierarchical Model for Learning Natural Scene Cat... |
PAMI
2007
13 years 8 months ago
2007
—We introduce a new general framework for the recognition of complex visual scenes, which is motivated by biology: We describe a hierarchical system that closely follows the orga...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
ICCV
2005
IEEE
14 years 10 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
CIVR
2007
Springer
14 years 2 months ago
2007
Springer
In the past, quantized local descriptors have been shown to be a good base for the representation of images, that can be applied to a wide range of tasks. However, current approac...