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» Optimizing Feature Sets for Structured Data
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CISST
2003
171views Hardware» more  CISST 2003»
14 years 11 months ago
Image Registration and Conflation Based on Structural Characteristics
An approach to conflation/registration of images that does not depend on identifying common points is being developed. It uses the method of algebraic invariants to provide a comm...
Boris Kovalerchuk, William Sumner, James L. Schwin...
ECCV
2006
Springer
15 years 1 months ago
SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images
Nonlinear image registration is a prerequisite for various medical image analysis applications. Many data acquisition protocols suffer from problems due to breathing motion which h...
Martin Urschler, Joachim Bauer, Hendrik Ditt, Hors...
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
15 years 10 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 7 days ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
ACL
2011
14 years 1 months ago
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
Ivan Titov