Sciweavers

581 search results - page 11 / 117
» In case you missed it
Sort
View
PRL
2002
67views more  PRL 2002»
13 years 9 months ago
A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets
Missing data handling is an important preparation step for most data discrimination or mining tasks. Inappropriate treatment of missing data may cause large errors or false result...
Xiaolu Huang, Qiuming Zhu
CVPR
2004
IEEE
14 years 12 months ago
Motion Segmentation with Missing Data Using PowerFactorization and GPCA
We consider the problem of segmenting multiple rigid motions from point correspondences in multiple affine views. We cast this problem as a subspace clustering problem in which th...
René Vidal, Richard I. Hartley
CORR
2007
Springer
137views Education» more  CORR 2007»
13 years 10 months ago
Cross-Matching Multiple Spatial Observations and Dealing with Missing Data
: Cross-match spatially clusters and organizes several astronomical point-source measurements from one or more surveys. Ideally, each object would be found in each survey. Unfortun...
Jim Gray, Alexander S. Szalay, Tamas Budavari, Rob...
ECML
2006
Springer
14 years 1 months ago
Learning Process Models with Missing Data
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...
NIPS
1992
13 years 11 months ago
Some Solutions to the Missing Feature Problem in Vision
In visual processing the ability to deal with missing and noisy information is crucial. Occlusions and unreliable feature detectors often lead to situations where little or no dir...
Subutai Ahmad, Volker Tresp