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» Invariance in Kernel Methods by Haar-Integration Kernels
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ICPR
2002
IEEE
14 years 8 days ago
Tangent Distance Kernels for Support Vector Machines
When dealing with pattern recognition problems one encounters different types of a-priori knowledge. It is important to incorporate such knowledge into the classification method ...
Bernard Haasdonk, Daniel Keysers
SIGSOFT
2010
ACM
13 years 5 months ago
Scalable SMT-based verification of GPU kernel functions
Interest in Graphical Processing Units (GPUs) is skyrocketing due to their potential to yield spectacular performance on many important computing applications. Unfortunately, writ...
Guodong Li, Ganesh Gopalakrishnan
CVPR
2012
IEEE
11 years 9 months ago
Geodesic flow kernel for unsupervised domain adaptation
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
Boqing Gong, Yuan Shi, Fei Sha, Kristen Grauman
PKDD
2009
Springer
103views Data Mining» more  PKDD 2009»
14 years 1 months ago
Kernels for Periodic Time Series Arising in Astronomy
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...
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...