Sciweavers

109 search results - page 6 / 22
» A New Convex Variational Model for Liver Segmentation
Sort
View
ECCV
2002
Springer
14 years 9 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»
13 years 7 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»
13 years 7 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»
13 years 7 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
14 years 16 days 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