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ECCV
2010
Springer
15 years 5 months ago
3D Point Correspondence by Minimum Description Length in Feature Space
Abstract. Finding point correspondences plays an important role in automatically building statistical shape models from a training set of 3D surfaces. For the point correspondence ...
ICPR
2008
IEEE
16 years 1 months ago
Indefinite Kernel Fisher Discriminant
Indefinite kernels arise in practice, e.g. from problem-specific kernel construction. Therefore, it is necessary to understand the behavior and suitability of classifiers in the c...
Bernard Haasdonk, Elzbieta Pekalska
EWCBR
2004
Springer
15 years 5 months ago
Case Retrieval Using Nonlinear Feature-Space Transformation
Abstract. Good similarity functions are at the heart of effective case-based reasoning. However, the similarity functions that have been designed so far have been mostly linear, we...
Rong Pan, Qiang Yang, Lei Li
ICPR
2010
IEEE
15 years 3 months ago
Localized Multiple Kernel Regression
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
Mehmet Gönen, Ethem Alpaydin
NIPS
2007
15 years 1 months ago
Random Features for Large-Scale Kernel Machines
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
Ali Rahimi, Benjamin Recht