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» Missing Data Estimation Using Polynomial Kernels
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107
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NIPS
1998
15 years 1 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
91
Voted
ICCV
2007
IEEE
16 years 2 months ago
A Rank Minimization Approach to Video Inpainting
This paper addresses the problem of video inpainting, that is seamlessly reconstructing missing portions in a set of video frames. We propose to solve this problem proceeding as f...
Tao Ding, Mario Sznaier, Octavia I. Camps
165
Voted
CVPR
2011
IEEE
14 years 4 months ago
Global Optimization for Optimal Generalized Procrustes Analysis
This paper deals with generalized procrustes analysis. This is the problem of registering a set of shape data by estimating a reference shape and a set of rigid transformations gi...
Daniel Pizarro, Adrien Bartoli
307
Voted
ICDE
2009
IEEE
1081views Database» more  ICDE 2009»
17 years 7 days ago
Modeling and Integrating Background Knowledge in Data Anonymization
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult for the d...
Tiancheng Li, Ninghui Li, Jian Zhang
92
Voted
OSDI
2000
ACM
15 years 1 months ago
Latency Management in Storage Systems
Storage Latency Estimation Descriptors, or SLEDs, are an API that allow applications to understand and take advantage of the dynamic state of a storage system. By accessing data i...
Rodney Van Meter, Minxi Gao