25 search results - page 2 / 5 » Approximation algorithms via contraction decomposition |
ICFCA
2009
Springer
14 years 1 months ago
2009
Springer
Matrix decomposition methods provide representations of an object-variable data matrix by a product of two different matrices, one describing relationship between objects and hidd...
ICALP
2009
Springer
14 years 6 months ago
2009
Springer
We develop new structural results for apex-minor-free graphs and show their power by developing two new approximation algorithms. The first is an additive approximation for colorin...
NIPS
2004
13 years 7 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
AAAI
1996
13 years 7 months ago
1996
In recent years, compositional modeling and selfexplanatory simulation techniques have simplified the process of building dynamic simulators of physical systems. Building steady-s...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...