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TMI
1998
122views more  TMI 1998»
15 years 6 months ago
Segmentation and Interpretation of MR Brain Images: An Improved Active Shape Model
Abstract— This paper reports a novel method for fully automated segmentation that is based on description of shape and its variation using point distribution models (PDM’s). An...
Nicolae Duta, Milan Sonka
JUCS
2010
104views more  JUCS 2010»
15 years 5 months ago
Investigating a Correlation between Subcellular Localization and Fold of Proteins
: When considering the prediction of a structural class for a protein as a classification problem, usually a classifier is based on a feature vector x ∈ Rn , where the features...
Johannes Aßfalg, Jing Gong, Hans-Peter Krieg...
CVPR
2007
IEEE
16 years 9 months ago
Learning to Detect A Salient Object
We study visual attention by detecting a salient object in an input image. We formulate salient object detection as an image segmentation problem, where we separate the salient obj...
Tie Liu, Jian Sun, Nanning Zheng, Xiaoou Tang, Heu...
CVPR
2010
IEEE
16 years 3 months ago
Object-Graphs for Context-Aware Category Discovery
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
Yong Jae Lee, Kristen Grauman
SOFTVIS
2005
ACM
16 years 16 days ago
Towards understanding programs through wear-based filtering
Large software projects often require a programmer to make changes to unfamiliar source code. This paper presents the results of a formative observational study of seven professio...
Robert DeLine, Amir Khella, Mary Czerwinski, Georg...