422 search results - page 28 / 85 » Structure from Motion with Missing Data is NP-Hard |
UAI
1998
13 years 11 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
CVPR
2006
IEEE
14 years 12 months ago
2006
IEEE
We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this po...
KDD
2009
ACM
14 years 4 months ago
2009
ACM
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
RECOMB
2003
Springer
14 years 10 months ago
2003
Springer
Critical to the understanding of the genetic basis for complex diseases is the modeling of human variation. Most of this variation can be characterized by single nucleotide polymo...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Multi-dimensional arrays are among the most fundamental and most useful data structures of all. In C++, excellent template libraries exist for arrays whose dimension is fixed at ru...