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» Learning with Transformation Invariant Kernels
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ICML
2010
IEEE
13 years 8 months ago
Fast Neighborhood Subgraph Pairwise Distance Kernel
We introduce a novel graph kernel called the Neighborhood Subgraph Pairwise Distance Kernel. The kernel decomposes a graph into all pairs of neighborhood subgraphs of small radius...
Fabrizio Costa, Kurt De Grave
CVPR
2012
IEEE
11 years 9 months ago
2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping
In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
Kun Liu, Qing Wang, Wolfgang Driever, Olaf Ronnebe...
MVA
2007
149views Computer Vision» more  MVA 2007»
13 years 8 months ago
Shift-Variant Restoration of Defocused Images Using Shift-Invariant Wavelet Transform
In this paper, we restore a blurred image caused by defocus of a lens using the shift-invariant Wavelet transform realized by the RI-Spline Wavelets. In a defocus blurred image, t...
Hisanaga Fujiwara, Zhong Zhang, Tetsuo Miyake, Aki...
ADMA
2006
Springer
167views Data Mining» more  ADMA 2006»
14 years 1 months ago
A Correlation Approach for Automatic Image Annotation
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
David R. Hardoon, Craig Saunders, Sándor Sz...