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» Rank Estimation in Missing Data Matrix Problems
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NECO
1998
121views more  NECO 1998»
13 years 7 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
14 years 2 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...
IJCV
2006
132views more  IJCV 2006»
13 years 7 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 ...
TSP
2008
103views more  TSP 2008»
13 years 7 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...
CVPR
2007
IEEE
14 years 9 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...