Kernel methods in machine learning

First Page		Document Content
Date: 2008-07-14 12:36:36 Operator theory Hilbert space Linear algebra Signal processing Positive-definite kernel Reproducing kernel Hilbert space Kernel trick Fourier analysis Kernel principal component analysis Mathematics Mathematical analysis Algebra		Kernel methods in machine learning Add to Reading List Source URL: arxiv.org Download Document from Source Website File Size: 592,05 KB Share Document on Facebook

	Distributed Computing Prof. R. Wattenhofer Audio Source Separation with Deep Learning Source separation is an established research field in signal processing. Most people have DocID: 1xTI8 - View Document
	Natural Scenes, Vision and Wavelets Nick Kingsbury Signal Processing and Communications Laboratory Department of Engineering, University of Cambridge, UK. email: DocID: 1vrCB - View Document
	VIDEO TRACKING USING DUAL-TREE WAVELET POLAR MATCHING AND PARTICLE FILTERING S. K. Pang, J. D. B. Nelson, S. J. Godsill, and N. G. Kingsbury University of Cambridge Signal Processing and Communications Laboratory CUED, T DocID: 1vrz0 - View Document
	IEEE SIGNAL PROCESSING LETTERS, VOL. 10, NO. 1, JANUARYGeneralized Encoding and Decoding Functions for a Cylindrical Ambisonic Sound System DocID: 1vqb8 - View Document
	Dual-Tree Complex Wavelets - their key properties and a range of image-processing applications Nick Kingsbury Signal Processing and Communications Laboratory Department of Engineering, University of Cambridge, UK. email: DocID: 1vnKn - View Document