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» An improvement on learning with local and global consistency
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CVPR
2004
IEEE
15 years 11 months ago
Shape Correspondence through Landmark Sliding
Motivated by improving statistical shape analysis, this paper presents a novel landmark-based method for accurate shape correspondence, where the general goal is to align multiple...
Song Wang, Toshiro Kubota, Theodor Richardson
CIS
2005
Springer
15 years 3 months ago
A Novel Multi-stage 3D Medical Image Segmentation: Methodology and Validation
Abstract. In this paper, we present a novel multi-stage algorithm for 3D medical image segmentation that is inspired by an improved Fast Marching method and a morphological reconst...
Jianfeng Xu, Lixu Gu, Xiahai Zhuang, Terry M. Pete...
CARS
2004
14 years 11 months ago
Colonic polyp characterization and detection based on both morphological and texture features
In this paper, a method is presented for detection of colonic polyps using both morphological and texture features of the colon wall from the abdominal computed tomography (CT) im...
Zigang Wang, Lihong Li 0002, Joseph Anderson, Dona...
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CVPR
2007
IEEE
15 years 11 months ago
Using Segmentation to Verify Object Hypotheses
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
Deva Ramanan
ECCV
2004
Springer
15 years 11 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard