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SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 7 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
PAKDD
2005
ACM
132views Data Mining» more  PAKDD 2005»
15 years 11 months ago
SETRED: Self-training with Editing
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
Ming Li, Zhi-Hua Zhou
CGF
2010
82views more  CGF 2010»
15 years 6 months ago
Poisson-Based Weight Reduction of Animated Meshes
While animation using barycentric coordinates or other automatic weight assignment methods has become a popular method for shape deformation, the global nature of the weights limi...
Eric Landreneau, Scott Schaefer
MVA
1992
128views Computer Vision» more  MVA 1992»
15 years 7 months ago
Computation of Surface Curvature from Range Images Using Geometrically Intrinsic Weights
This paper presents a method to compute Mean and Gaussian curvatures from range images. The first and second partial derivatives are estimated by the weighted least squares fit of...
Takio Kurita, Pierre Boulanger
CORR
2008
Springer
71views Education» more  CORR 2008»
15 years 6 months ago
Subclose Families, Threshold Graphs, and the Weight Hierarchy of Grassmann and Schubert Codes
Abstract. We discuss the problem of determining the complete weight hierarchy of linear error correcting codes associated to Grassmann varieties and, more generally, to Schubert va...
Sudhir R. Ghorpade, Arunkumar R. Patil, Harish K. ...