125 search results - page 1 / 25 » Image Classification With Kernelized Spatial-Context |
TMM
2010
12 years 11 months ago
2010
Abstract--The goal of image classification is to classify a collection of unlabeled images into a set of semantic classes. Many methods have been proposed to approach this goal by ...
TMM
2002
13 years 4 months ago
2002
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
ICIAP
2009
ACM
13 years 2 months ago
2009
ACM
Abstract. Shape classification using graphs and skeletons usually involves edition processes in order to reduce the influence of structural noise. However, edition distances can no...
MICCAI
2009
Springer
14 years 5 months ago
2009
Springer
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...
ACCV
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. In this paper, we propose a new method for image classification, in which matrix based kernel features are designed to capture the multiple similarities between images in...