5 search results - page 1 / 1 » Reliable Krylov-based algorithms for matrix null space and r... |
ISSAC
2004
Springer
13 years 10 months ago
2004
Springer
MP
2011
13 years 6 days ago
2011
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
ACII
2005
Springer
13 years 7 months ago
2005
Springer
The null space N(St) of total scatter matrix St contains no useful information for pattern classification. So, discarding the null space N(St) results in dimensionality reduction ...
JMIV
2010
13 years 3 months ago
2010
Abstract In estimating motions of multi-centered optical systems using the generalized camera model, one can use the linear seventeen-point algorithm for obtaining a generalized es...
ILP
2003
Springer
13 years 10 months ago
2003
Springer
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...