140 search results - page 20 / 28 » Dimensionality Reduction with Adaptive Kernels |
TKDE
2012
11 years 10 months ago
2012
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
TASLP
2010
13 years 2 months ago
2010
We present a frequency-domain technique based on PARAllel FACtor (PARAFAC) analysis that performs multichannel blind source separation (BSS) of convolutive speech mixtures. PARAFAC...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, a novel algorithm for bandwidth reduction in adaptive distributed learning is introduced. We deal with diffusion networks, in which the nodes cooperate with each ot...
TAMC
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Kernelizations are an important tool in designing fixed parameter algorithms for parameterized decision problems. We introduce an analogous notion for counting problems,...
PAA
2008
13 years 7 months ago
2008
This paper proposes a method of finding a discriminative linear transformation that enhances the data's degree of conformance to the compactness hypothesis and its inverse. Th...