292 search results - page 24 / 59 » An Experimental Analysis of Robinson-Foulds Distance Matrix ... |
IJON
2010
13 years 6 months ago
2010
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
DAC
2001
ACM
14 years 8 months ago
2001
ACM
In this paper, we propose preconditioned Krylov-subspace iterative methods to perform efficient DC and transient simulations for large-scale linear circuits with an emphasis on po...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
ENTCS
2002
13 years 7 months ago
2002
Despite considerable effort, the state-space explosion problem remains an issue in the analysis of Markov models. Given structure, symbolic representations can result in very comp...