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WIAMIS
2009
IEEE
15 years 5 months ago
Towards fully un-supervised methods for generating object detection classifiers using social data
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...
Spiros Nikolopoulos, Elisavet Chatzilari, Eirini G...
CISIM
2007
IEEE
15 years 3 months ago
Semi-Automatic Segmentation of Fibrous Liver Tissue
This article presents a semi-automatic segmentation of the fibrous liver tissue in the in-vivo liver biopsy color images. The segmentation is performed using a tree-based classifi...
P. Andruszkiewicz, C. Boldak, J. Jaroszewicz
ECAI
2006
Springer
15 years 2 months ago
A Learning Classifier Approach to Tomography
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Kees Joost Batenburg
ICML
2005
IEEE
15 years 12 months ago
Interactive learning of mappings from visual percepts to actions
We introduce flexible algorithms that can automatically learn mappings from images to actions by interacting with their environment. They work by introducing an image classifier i...
Justus H. Piater, Sébastien Jodogne
ICCV
2007
IEEE
16 years 1 months ago
Image Classification using Random Forests and Ferns
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
Andrew Zisserman, Anna Bosch, Xavier Muñoz