879 search results - page 85 / 176 » Forecasting high-dimensional data |
IDEAL
2004
Springer
15 years 3 months ago
2004
Springer
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
EMMCVPR
2001
Springer
15 years 2 months ago
2001
Springer
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In many applications decisions must be made about the state of an object based on indirect noisy observation of highdimensional data. An example is the determination of the presen...
IEEEMM
2007
14 years 9 months ago
2007
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...