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WBIR
2010
SPRINGER
15 years 4 months ago
Reliability-Driven, Spatially-Adaptive Regularization for Deformable Registration
We propose a reliability measure that identifies informative image cues useful for registration, and present a novel, data-driven approach to spatially adapt regularization to the...
Lisa Tang, Ghassan Hamarneh, Rafeef Abugharbieh
SMA
2003
ACM
100views Solid Modeling» more  SMA 2003»
15 years 5 months ago
Free-form deformations via sketching and manipulating scalar fields
This paper presents a novel Scalar-field based Free-Form Deformation (SFFD) technique founded upon general flow constraints and implicit functions. In contrast to the traditiona...
Jing Hua, Hong Qin
PAMI
2010
171views more  PAMI 2010»
14 years 10 months ago
Automatic Construction of Correspondences for Tubular Surfaces
Abstract— Statistical shape modeling is an established technique and is used for a variety of tasks in medical image processing, such as image segmentation and analysis. A challe...
Toon Huysmans, Jan Sijbers, Brigitte Verdonk
IPMI
2009
Springer
16 years 17 days ago
DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency weighting
A general-purpose deformable registration algorithm referred to as ”DRAMMS” is presented in this paper. DRAMMS adds to the literature of registration methods that bridge betw...
Yangming Ou, Christos Davatzikos
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
15 years 3 months ago
Optimizing debt collections using constrained reinforcement learning
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K....