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» Spatio-temporal convolution kernels
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ICIP
2005
IEEE
14 years 11 months ago
Interpolation by asymmetric, two-dimensional cubic convolution
This paper formulates a two-dimensional, piecewise-cubic interpolator that accounts for non-separable and rotationally asymmetric scene statistics. The resulting kernel has five p...
Jiazheng Shi, Stephen E. Reichenbach
NIPS
2004
13 years 11 months ago
An Application of Boosting to Graph Classification
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
Taku Kudo, Eisaku Maeda, Yuji Matsumoto
COMPIMAGE
2010
Springer
14 years 4 months ago
Curvature Estimation for Discrete Curves Based on Auto-adaptive Masks of Convolution
We propose a method that we call auto-adaptive convolution which extends the classical notion of convolution in pictures analysis to function analysis on a discrete set. We define...
Christophe Fiorio, Christian Mercat, Fréd&e...
MICCAI
1999
Springer
14 years 1 months ago
Quantitative Comparison of Sinc-Approximating Kernels for Medical Image Interpolation
Interpolation is required in many medical image processing operations. From sampling theory, it follows that the ideal interpolation kernel is the sinc function, which is of infin...
Erik H. W. Meijering, Wiro J. Niessen, Josien P. W...
ECIR
2010
Springer
13 years 11 months ago
Finding Wormholes with Flickr Geotags
We propose a kernel convolution method to predict similar locations (wormholes) based on human travel behaviour. A scaling parameter can be used to define a set of relevant users t...
Maarten Clements, Pavel Serdyukov, Arjen P. de Vri...