27 search results - page 2 / 6 » Kernel Partial Least Squares is Universally Consistent |
KES
2006
Springer
13 years 4 months ago
2006
Springer
Abstract. This paper considers the sensor network localization problem using signal strength. Unlike range-based methods signal strength information is stored in a kernel matrix. L...
ESANN
2003
13 years 6 months ago
2003
Abstract. We focus on covariance criteria for finding a suitable subspace for regression in a reproducing kernel Hilbert space: kernel principal component analysis, kernel partial...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Significant research has been devoted to detecting people
in images and videos. In this paper we describe a human detection
method that augments widely used edge-based features
...
NIPS
2008
13 years 6 months ago
2008
Regularized Least Squares (RLS) algorithms have the ability to avoid over-fitting problems and to express solutions as kernel expansions. However, we observe that the current RLS ...
ECML
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. In this paper we show a novel application of string kernels: that is to the problem of recognising famous pianists from their style of playing. The characterstics of perf...