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» The Kernel Trick for Distances
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NIPS
2001
14 years 11 months ago
K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
Pascal Vincent, Yoshua Bengio
ICASSP
2011
IEEE
14 years 1 months ago
Using the kernel trick in compressive sensing: Accurate signal recovery from fewer measurements
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
Hanchao Qi, Shannon Hughes
60
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BIOINFORMATICS
2004
63views more  BIOINFORMATICS 2004»
14 years 9 months ago
Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry
Yan Fu, Qiang Yang, Ruixiang Sun, Dequan Li, Rong ...
TSMC
2008
125views more  TSMC 2008»
14 years 8 months ago
On Feature Extraction via Kernels
Abstract-- Using the kernel trick idea and the kernels as features idea, we can construct two kinds of nonlinear feature spaces, where linear feature extraction algorithms can be e...
Cheng Yang, Liwei Wang, Jufu Feng