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CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
14 years 5 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Alexander Vezhnevets, Joachim Buhmann
WACV
2005
IEEE
14 years 3 months ago
A Model-Based Interactive Object Segmentation Procedure
A global parametric shape model (boundary) of the object is optimized according to evidence accumulated from local features and the prior probability of the model parameters learn...
Jie Zou
ICML
2006
IEEE
14 years 10 months ago
Efficient inference on sequence segmentation models
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
Sunita Sarawagi
ICMLA
2008
13 years 11 months ago
Image Segmentation as Learning on Hypergraphs
In this paper, we propose to use hypergraphs as the model for images and pose image segmentation as a machine learning problem in which some pixels (called seeds) are labeled as t...
Lei Ding, Alper Yilmaz
HICSS
2006
IEEE
176views Biometrics» more  HICSS 2006»
14 years 3 months ago
Learning by Browsing: A Web-Based Multimedia Browsing System for Learning
Multimedia, especially video, is widely used in educational applications. More and more universities and corporations now provide videotaped lectures online for knowledge sharing ...
Ming Lin, Jinwei Cao, Christopher B. R. Diller, Ja...