78 search results - page 4 / 16 » Compressed Kernel Perceptrons |
COLT
2001
Springer
13 years 12 months ago
2001
Springer
Abstract. We develop three new techniques to build on the recent advances in online learning with kernels. First, we show that an exponential speed-up in prediction time per trial ...
NIPS
2001
13 years 8 months ago
2001
We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other discre...
ICA
2004
Springer
2004
Springer
Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method
14 years 25 days ago
The variational Bayesian nonlinear blind source separation method introduced by Lappalainen and Honkela in 2000 is initialised with linear principal component analysis (PCA). Becau...
CIDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
ISCAS
2002
IEEE
14 years 11 days ago
2002
IEEE
In this report, we propose a non-separable twodimensional (2D) Lossless Symmetric Short Kernel Filter (L-SSKF) for image compression. Filter characteristics of our proposed L-SSKF...