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KAIS
2006
87views more  KAIS 2006»
14 years 9 months ago
Improving the performance of 1D object classification by using the Electoral College
Abstract It has been proven that districted matching schemes (e.g., the US presidential election scheme, also called the Electoral College) are more stable than undistricted matchi...
Liang Chen, Ruoyu Chen, Sharmin Nilufar
TMM
2002
104views more  TMM 2002»
14 years 9 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
PAMI
2010
207views more  PAMI 2010»
14 years 4 months ago
Document Ink Bleed-Through Removal with Two Hidden Markov Random Fields and a Single Observation Field
We present a new method for blind document bleed through removal based on separate Markov Random Field (MRF) regularization for the recto and for the verso side, where separate pri...
Christian Wolf
MICCAI
2001
Springer
15 years 2 months ago
Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration
Abstract. In this paper we introduce the concept of statistical deformation models (SDM) which allow the construction of average models of the anatomy and their variability. SDMs a...
Daniel Rueckert, Alejandro F. Frangi, Julia A. Sch...
PAMI
2008
202views more  PAMI 2008»
14 years 9 months ago
Metamorphs: Deformable Shape and Appearance Models
This paper presents a new deformable modeling strategy aimed at integrating shape and appearance in a unified space. If we think traditional deformable models as "active cont...
Xiaolei Huang, Dimitris N. Metaxas