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» Rank Estimation in Missing Data Matrix Problems
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NECO
1998
121views more  NECO 1998»
14 years 9 months ago
Nonlinear Time-Series Prediction with Missing and Noisy Data
We derive solutions for the problem of missing and noisy data in nonlinear timeseries prediction from a probabilistic point of view. We discuss different approximations to the so...
Volker Tresp, Reimar Hofmann
ICTAI
2008
IEEE
15 years 4 months ago
Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic Algorithm
We introduce a new adaptive genetic method for AVT generation, MCM-AVT-Learner. The MCM-AVTLearner imports the mutation and crossover matrices which makes effective use of the fi...
Hyunsung Jo, Yong-chan Na, Byonghwa Oh, Jihoon Yan...
100
Voted
IJCV
2006
132views more  IJCV 2006»
14 years 9 months ago
Two-View Multibody Structure from Motion
We present an algebraic geometric approach to 3-D motion estimation and segmentation of multiple rigid-body motions from noise-free point correspondences in two perspective views. ...
René Vidal, Yi Ma, Stefano Soatto, Shankar ...
56
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TSP
2008
103views more  TSP 2008»
14 years 9 months ago
Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches
Abstract--We present a versatile framework for tractable computation of approximate variances in large-scale Gaussian Markov random field estimation problems. In addition to its ef...
Dmitry M. Malioutov, Jason K. Johnson, Myung Jin C...
66
Voted
CVPR
2007
IEEE
15 years 11 months ago
Autocalibration via Rank-Constrained Estimation of the Absolute Quadric
We present an autocalibration algorithm for upgrading a projective reconstruction to a metric reconstruction by estimating the absolute dual quadric. The algorithm enforces the ra...
Manmohan Krishna Chandraker, Sameer Agarwal, Fredr...