Sciweavers

56 search results - page 2 / 12
» Structured Local Predictors for image labelling
Sort
View
CVPR
2011
IEEE
13 years 21 days ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
IPMI
2007
Springer
13 years 10 months ago
Spine Detection and Labeling Using a Parts-Based Graphical Model
Abstract. The detection and extraction of complex anatomical structures usually involves a trade-off between the complexity of local feature extraction and classification, and th...
Stefan Schmidt, Jörg H. Kappes, Martin Bergth...
ECCV
2010
Springer
13 years 9 months ago
Learning What and How of Contextual Models for Scene Labeling
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
PAMI
2010
396views more  PAMI 2010»
13 years 3 months ago
Self-Validated Labeling of Markov Random Fields for Image Segmentation
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
Wei Feng, Jiaya Jia, Zhi-Qiang Liu
IPMI
1993
Springer
13 years 8 months ago
The Use of Active Shape Models for Locating Structures in Medical Images
Thispaperdescribesatechniqueforbuildingcompactmodelsoftheshapeandappearance offlexibleobjects(suchasorgans)seenin2-Dimages. Themodelsarederivedfromthestatisticsof setsof labelled i...
Timothy F. Cootes, Andrew Hill, Christopher J. Tay...