119 search results - page 8 / 24 » Constrained Projection Approximation Algorithms for Principa... |
NIPS
2008
14 years 11 months ago
2008
We present a generative model for performing sparse probabilistic projections, which includes sparse principal component analysis and sparse canonical correlation analysis as spec...
NN
2000
Springer
14 years 9 months ago
2000
Springer
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
86
Voted
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
ISMIR
2004
Springer
15 years 2 months ago
2004
Springer
We took a collection of 100 drum beats from popular music tracks and estimated the measure length and downbeat position of each one. Using these values, we normalized each pattern...
76
Voted
COMPUTER
1999
14 years 9 months ago
1999
abstract mathematical or physical statement, not something specific. The way scientific programmers most frequently verify that their programs are correct is to examine their resul...