Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
In this paper, the problem of classification of defects occurring in a textile manufacture is addressed. A new classification scheme is devised in which different features, extrac...
The Conditional Random Fields (CRF) model, using
patch-based classification bound with context information,
has recently been widely adopted for image segmentation/
labeling. In...
A new method for combining dichotomizers like SVMs is proposed for classifying multi-class pattern fields. The novelty lies in the estimation of the styleconstrained posterior fie...
A novel approach to classification is proposed in which a Paretobased ranking of individuals is used to encourage multiple individuals to participate in the solution. To do so, th...