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» Understanding the Yarowsky Algorithm
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ICCV
2009
IEEE
16 years 3 months ago
Label Set Perturbation for MRF based Neuroimaging Segmentation
Graph-cuts based algorithms are effective for a variety of segmentation tasks in computer vision. Ongoing research is focused toward making the algorithms even more general, as ...
Dylan Hower, Vikas Singh, Sterling C. Johnson
73
Voted
CVPR
2006
IEEE
16 years 4 days ago
Learning Distance Metrics with Contextual Constraints for Image Retrieval
Relevant Component Analysis (RCA) has been proposed for learning distance metrics with contextual constraints for image retrieval. However, RCA has two important disadvantages. On...
Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Yin...
ICCV
1999
IEEE
16 years 1 days ago
Control in a 3D Reconstruction System using Selective Perception
This paper presents a control structure for general purpose image understanding that addresses both the high level of uncertainty in local hypotheses and the computational complex...
Maurício Marengoni, Allen R. Hanson, Shlomo...
ECCV
1996
Springer
15 years 12 months ago
Imposing Hard Constraints on Soft Snakes
An approach is presented for imposing generic hard constraints on deformable models at a low computational cost, while preserving the good convergence properties of snake-like mod...
Pascal Fua, Christian Brechbühler
IPMI
2003
Springer
15 years 11 months ago
Feature Selection for Shape-Based Classification of Biological Objects
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
Paul A. Yushkevich, Sarang C. Joshi, Stephen M. Pi...