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» Kernels for Semi-Structured Data
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ISBI
2006
IEEE
14 years 8 months ago
Heat kernel smoothing on unit sphere
In brain imaging, cortical data such as the cortical thickness, cortical surface curvatures and surface coordinates have been mapped to a unit sphere for the purpose of visualizat...
Moo K. Chung
ICASSP
2010
IEEE
13 years 8 months ago
A kernel mean matching approach for environment mismatch compensation in speech recognition
The mismatch between training and test environmental conditions presents a challenge to speech recognition systems. In this paper, we investigate an approach for matching the dist...
Abhishek Kumar, John H. L. Hansen
CVPR
2010
IEEE
14 years 3 months ago
Locally-Parametric Pictorial Structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar
ICPP
2009
IEEE
14 years 2 months ago
Load Balance in the Phylogenetic Likelihood Kernel
—Recent advances in DNA sequencing techniques have led to an unprecedented accumulation and availability of molecular sequence data that needs to be analyzed. This data explosion...
Alexandros Stamatakis, Michael Ott
NIPS
2003
13 years 9 months ago
Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA
We derive the limiting form of the eigenvalue spectrum for sample covariance matrices produced from non-isotropic data. For the analysis of standard PCA we study the case where th...
David C. Hoyle, Magnus Rattray