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» A New Convex Variational Model for Liver Segmentation
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ECCV
2002
Springer
15 years 11 months ago
A New Image Registration Technique with Free Boundary Constraints: Application to Mammography
In this paper, a new image-matching mathematical model is presented for the mammogram registration. In a variational framework, an energy minimization problem is formulated and a m...
Frédéric J. P. Richard, Laurent D. C...
JMLR
2006
143views more  JMLR 2006»
14 years 9 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth
CORR
2006
Springer
76views Education» more  CORR 2006»
14 years 9 months ago
Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting
Consider the problem of joint parameter estimation and prediction in a Markov random field: i.e., the model parameters are estimated on the basis of an initial set of data, and th...
Martin J. Wainwright
CORR
2010
Springer
112views Education» more  CORR 2010»
14 years 9 months ago
Transdichotomous Results in Computational Geometry, II: Offline Search
We reexamine fundamental problems from computational geometry in the word RAM model, where input coordinates are integers that fit in a machine word. We develop a new algorithm fo...
Timothy M. Chan, Mihai Patrascu
EMMCVPR
2003
Springer
15 years 2 months ago
Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling
Poor convergence to concave shapes is a main limitation of snakes as a standard segmentation and shape modelling technique. The gradient of the external energy of the snake represe...
Debora Gil, Petia Radeva