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EMNLP
2008
15 years 2 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
IPMI
2001
Springer
16 years 2 months ago
3D Vascular Segmentation Using MRA Statistics and Velocity Field Information in PC-MRA
Abstract. This paper presents a new and integrated approach to automatic 3D brain vessel segmentation using physics-based statistical models of background and vascular signals, and...
Albert C. S. Chung, J. Alison Noble, Paul E. Summe...
ESORICS
2004
Springer
15 years 6 months ago
Breaking Cauchy Model-Based JPEG Steganography with First Order Statistics
Abstract. The recent approach of a model-based framework for steganography fruitfully contributes to the discussion on the security of steganography. In addition, the first propos...
Rainer Böhme, Andreas Westfeld
MICCAI
2005
Springer
16 years 2 months ago
Shape Modeling Using Automatic Landmarking
Abstract. This paper describes a novel approach to automatically recover accurate correspondence over various shapes. In order to detect the features points with the capability in ...
Jun Xie, Pheng-Ann Heng
ISBI
2006
IEEE
15 years 7 months ago
Shape analysis using the Fisher-Rao Riemannian metric: unifying shape representation and deformation
— We show that the Fisher-Rao Riemannian metric is a natural, intrinsic tool for computing shape geodesics. When a parameterized probability density function is used to represent...
Adrian Peter, Anand Rangarajan