There is a strong technological and economic push for higher education providers to adopt online learning strategies. This is driven, in part, by the requirement of industry for l...
We present an approach to learning the personal preferences of individual users directly from example images. The target application is computer assisted search of partners in onl...
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
Software realizations of computationally-demanding image processing tasks (e.g. image transforms and convolution) do not currently provide graceful degradation when their clock-cy...
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson