Learning with Kernels
A comprehensive introduction to Support Vector Machines and related kernel methods. In the 1990s, a new type of learning algorithm was developed, based on results from statistic...
Publications
9 shownA Machine Learning Approach for Non-blind Image Deconvolution
Image deconvolution is the ill-posed problem of recovering a sharp image, given a blurry one generated by a convolution. In this work, we deal with space-invariant non-blind dec...
Comparing support vector machines with Gaussian kernels to radial basis function classifiers
The Support Vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains polynomial classifiers, neural networks, and radial bas...
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
A new method for performing a nonlinear form of principal component analysis is proposed. By the use of integral operator kernel functions, one can efficiently compute principal...
Support vector machines
My first exposure to Support Vector Machines came this spring when heard Sue Dumais present impressive results on text categorization using this analysis technique. This issue's...
Fisher discriminant analysis with kernels
A non-linear classification technique based on Fisher's discriminant is proposed. Main ingredient is the kernel trick which allows to efficiently compute the linear Fisher discr...
Input space versus feature space in kernel-based methods
This paper collects some ideas targeted at advancing our understanding of the feature spaces associated with support vector (SV) kernel functions. We first discuss the geometry ...
Extracting support data for a given task
We report a novel possibility for extracting a small subset of a data base which contains all the information necessary to solve a given classification task: using the Support V...
Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators
We derive new bounds for the generalization error of kernel machines, such as support vector machines and related regularization networks by obtaining new bounds on their coveri...
Frequent Co-Authors
Researcher Info
- h-index
- 9
- Publications
- 9
- Citations
- 29,981
- Institution
- Max Planck Institute for Biological Cybernetics
External Links
Identifiers
- ORCID
- 0000-0002-8177-0925
Impact Metrics
h-index
9
h-index: Number of publications with at least h citations each.