400 search results - page 42 / 80 » An Algorithm for the Reduction of Linear DAE |
MST
2011
12 years 11 months ago
2011
We study the complexity of testing if two given matroids are isomorphic. The problem is easily seen to be in Σ p 2. In the case of linear matroids, which are represented over pol...
ICONIP
2007
13 years 10 months ago
2007
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
GLOBECOM
2007
IEEE
14 years 3 months ago
2007
IEEE
— Sphere decoding (SD) is a low complexity maximum likelihood (ML) detection algorithm, which has been adapted for different linear channels in digital communications. The comple...
AAAI
2010
13 years 10 months ago
2010
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...
ISLPED
2003
ACM
14 years 2 months ago
2003
ACM
We describe an optimization strategy for minimizing total power consumption using dual threshold voltage (Vth) technology. Significant power savings are possible by simultaneous a...