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» Missing Data Estimation Using Polynomial Kernels
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111
Voted
VDA
2010
185views Visualization» more  VDA 2010»
15 years 3 months ago
Visualizing multidimensional data through granularity-dependent spatialization
Spatialization is a special kind of visualization that projects multidimensional data into low-dimensional representational spaces by making use of spatial metaphors. Spatializati...
Sofia Kontaxaki, Eleni Tomai, Margarita Kokla, Mar...
73
Voted
ECCV
2006
Springer
16 years 2 months ago
A Simple Solution to the Six-Point Two-View Focal-Length Problem
Abstract. This paper presents a simple and practical solution to the 6-point 2view focal-length estimation problem. Based on the hidden-variable technique we have derived a 15th de...
Hongdong Li
110
Voted
ICML
2006
IEEE
16 years 1 months ago
Learning user preferences for sets of objects
Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of it...
Marie desJardins, Eric Eaton, Kiri Wagstaff
ICPR
2008
IEEE
15 years 7 months ago
Automatic pose estimation of 3D facial models
Pose estimation plays an essential role in many computer vision applications, such as human computer interaction (HCI), driver attentiveness monitoring, face recognition, automati...
Yi Sun, Lijun Yin
UAI
1997
15 years 1 months ago
Update Rules for Parameter Estimation in Bayesian Networks
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
Eric Bauer, Daphne Koller, Yoram Singer