44 search results - page 2 / 9 » Computationally Efficient Estimators for Dimension Reduction... |
NIPS
2007
13 years 6 months ago
2007
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
ICANN
2003
Springer
13 years 10 months ago
2003
Springer
In independent component analysis problems, when we use a one-unit objective function to iteratively estimate several independent components, the uncorrelatedness between the indep...
DATESO
2004
13 years 6 months ago
2004
Abstract. In the area of information retrieval, the dimension of document vectors plays an important role. Firstly, with higher dimensions index structures suffer the "curse o...
IROS
2009
IEEE
13 years 11 months ago
2009
IEEE
— Sampling-based motion planners are often used to solve very high-dimensional planning problems. Many recent algorithms use projections of the state space to estimate properties...
IGARSS
2009
13 years 2 months ago
2009
High-dimensional data such as hyperspectral imagery is traditionally acquired in full dimensionality before being reduced in dimension prior to processing. Conventional dimensiona...