26 search results - page 2 / 6 » Random Feature Maps for Dot Product Kernels |
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
KDD
2007
ACM
14 years 6 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
This paper presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces (RKHS). Unlike previous approaches that exploit the kernel trick on filtered ...
DAGM
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
ICA
2007
Springer
13 years 7 months ago
2007
Springer
In this paper, we propose a Bayesian estimation approach to extend independent subspace analysis (ISA) for an overcomplete representation without imposing the orthogonal constraint...