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» Novel iteration schemes for the Cluster Variation Method
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KDD
2001
ACM
166views Data Mining» more  KDD 2001»
15 years 10 months ago
Generalized clustering, supervised learning, and data assignment
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoo...
ICIP
2002
IEEE
15 years 11 months ago
A new direction adaptive scheme for image interpolation
In this paper, we present a novel image interpolation method based on variational models with both smoothing and orientation constraints. By introducing the orientation constraint...
Hao Jiang, Cecilia Moloney
ICPR
2008
IEEE
15 years 11 months ago
Asymmetric post-processing for stereo correspondence
This paper presents a novel approach that performs post-processing for stereo correspondence. We improve the performance of stereo correspondence by performing consistency check a...
Dong Bo Min, Juhyun Oh, Kwanghoon Sohn
BMCBI
2006
74views more  BMCBI 2006»
14 years 10 months ago
An unsupervised classification scheme for improving predictions of prokaryotic TIS
Background: Although it is not difficult for state-of-the-art gene finders to identify coding regions in prokaryotic genomes, exact prediction of the corresponding translation ini...
Maike Tech, Peter Meinicke
JMLR
2010
130views more  JMLR 2010»
14 years 4 months ago
A Regularization Approach to Nonlinear Variable Selection
In this paper we consider a regularization approach to variable selection when the regression function depends nonlinearly on a few input variables. The proposed method is based o...
Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Ales...