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JMLR
2010
155views more  JMLR 2010»
13 years 6 months ago
Approximate Tree Kernels
Convolution kernels for trees provide simple means for learning with tree-structured data. The computation time of tree kernels is quadratic in the size of the trees, since all pa...
Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Ro...
IJCNN
2007
IEEE
14 years 2 months ago
Probability Density Function Estimation Using Orthogonal Forward Regression
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
Sheng Chen, Xia Hong, Chris J. Harris
ICASSP
2011
IEEE
12 years 11 months ago
Investigations into the incorporation of the Ideal Binary Mask in ASR
While much work has been dedicated to exploring how best to incorporate the Ideal Binary Mask (IBM) in automatic speech recognition (ASR) for noisy signals, we demonstrate that th...
William Hartmann, Eric Fosler-Lussier
ECCV
2004
Springer
14 years 9 months ago
A Correlation-Based Approach to Robust Point Set Registration
Correlation is a very effective way to align intensity images. We extend the correlation technique to point set registration using a method we call kernel correlation. Kernel corre...
Yanghai Tsin, Takeo Kanade
CVPR
2008
IEEE
14 years 9 months ago
Robust dual motion deblurring
This paper presents a robust algorithm to deblur two consecutively captured blurred photos from camera shaking. Previous dual motion deblurring algorithms succeeded in small and s...
Jia Chen, Lu Yuan, Chi-Keung Tang, Long Quan