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NIPS
2008
15 years 7 months ago
Learning Hybrid Models for Image Annotation with Partially Labeled Data
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...
Xuming He, Richard S. Zemel
ICDAR
2003
IEEE
15 years 11 months ago
Postal Envelope Segmentation by 2-D Histogram Clustering through Watershed Transform
In this paper we present a new postal envelope segmentation method based on 2-D histogram clustering and watershed transform. Segmentation task consists in detecting the modes ass...
Eduardo Akira Yonekura, Jacques Facon
IJCV
2008
151views more  IJCV 2008»
15 years 6 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
MICCAI
2010
Springer
15 years 4 months ago
Endoscopic Video Manifolds
Postprocedural analysis of gastrointestinal (GI) endoscopic videos is a difficult task because the videos often suffer from a large number of poor-quality frames due to the motion...
Selen Atasoy, Diana Mateus, Joe Lallemand, Alexand...
ISBI
2006
IEEE
16 years 7 months ago
Improved segmentation of focal cortical dysplasia lesions on MRI using expansion towards cortical boundaries
Focal cortical dysplasia (FCD), a malformation of cortical development, is an important cause of intractable epilepsy. On Magnetic Resonance Images (MRI), FCD lesions are difficul...
Olivier Colliot, Tommaso Mansi, Pierre Besson, Ned...