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» Invariances in kernel methods: From samples to objects
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HUC
2007
Springer
14 years 1 months ago
Symbolic Object Localization Through Active Sampling of Acceleration and Sound Signatures
We describe a novel method for symbolic location discovery of simple objects. The method requires no infrastructure and relies on simple sensors routinely used in sensor nodes and ...
Kai S. Kunze, Paul Lukowicz
VISAPP
2008
13 years 9 months ago
Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation
In this paper we propose a method for continuous learning of simple visual concepts. The method continuously associates words describing observed scenes with automatically extracte...
Danijel Skocaj, Matej Kristan, Ales Leonardis
MCS
2010
Springer
14 years 2 months ago
Combining Multiple Kernels by Augmenting the Kernel Matrix
Abstract. In this paper we present a novel approach to combining multiple kernels where the kernels are computed from different information channels. In contrast to traditional me...
Fei Yan, Krystian Mikolajczyk, Josef Kittler, Muha...
ECCV
2010
Springer
14 years 1 months ago
Single Image Deblurring Using Motion Density Functions
Abstract. We present a novel single image deblurring method to estimate spatially non-uniform blur that results from camera shake. We use existing spatially invariant deconvolution...
PR
2008
90views more  PR 2008»
13 years 7 months ago
Fast computation of geometric moments using a symmetric kernel
This paper presents a novel set of geometric moments with symmetric kernel (SGM) obtained using an appropriate transformation of image coordinates. By using this image transformat...
Chong-Yaw Wee, Paramesran Raveendran, R. Mukundan