1187 search results - page 30 / 238 » The Generalized Dimensionality Reduction Problem |
93
Voted
BMVC
2010
14 years 7 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
75
Voted
KR
2010
Springer
15 years 2 months ago
2010
Springer
A plan with rich control structures like branches and loops can usually serve as a general solution that solves multiple planning instances in a domain. However, the correctness o...
78
Voted
EUSFLAT
2001
14 years 11 months ago
2001
In many practical problems, we must combine ("fuse") data represented in different formats, e.g., statistical, fuzzy, etc. The simpler the data, the easier to combine th...
COMPGEOM
2009
ACM
15 years 4 months ago
2009
ACM
Nonlinear dimensionality reduction (NLDR) algorithms such as Isomap, LLE and Laplacian Eigenmaps address the problem of representing high-dimensional nonlinear data in terms of lo...
92
Voted
ICCD
2004
IEEE
15 years 6 months ago
2004
IEEE
A negative effect of ever-shrinking supply and threshold voltages is the larger percentage of total power consumption that comes from leakage current. Several techniques have been...