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144
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JMLR
2008
131views more  JMLR 2008»
15 years 3 months ago
On Relevant Dimensions in Kernel Feature Spaces
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...
120
Voted
TIP
2008
127views more  TIP 2008»
15 years 3 months ago
SURE-LET Multichannel Image Denoising: Interscale Orthonormal Wavelet Thresholding
Abstract--We propose a vector/matrix extension of our denoising algorithm initially developed for grayscale images, in order to efficiently process multichannel (e.g., color) image...
Florian Luisier, Thierry Blu
148
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IVC
2007
176views more  IVC 2007»
15 years 3 months ago
Kernel-based distance metric learning for content-based image retrieval
ct 8 For a specific set of features chosen for representing images, the performance of a content-based image retrieval (CBIR) system 9 depends critically on the similarity or diss...
Hong Chang, Dit-Yan Yeung
SIGPRO
2010
137views more  SIGPRO 2010»
15 years 1 months ago
Satellite image compression by post-transforms in the wavelet domain
This paper proposes a novel compression scheme with a tunable complexity-ratedistortion trade-off. As images increase in size and resolution, more efficient compression schemes w...
Xavier Delaunay, Marie Chabert, Vincent Charvillat...
125
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TIP
2010
112views more  TIP 2010»
15 years 1 months ago
Variable Density Compressed Image Sampling
Compressed sensing (CS) provides an efficient way to acquire and reconstruct natural images from a reduced number of linear projection measurements at sub-Nyquist sampling rates....
Zhongmin Wang, Gonzalo R. Arce