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Kernel method
Known as:
Kernel Methods
, KM
, Kernel machines
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In machine learning, kernel methods are a class of algorithms for pattern analysis, whose best known member is the support vector machine (SVM). The…
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Related topics
35 relations
3D reconstruction
Adaptive filter
Artificial neural network
Bioinformatics
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Papers overview
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2015
2015
Robust Visual Correlation Tracking
Lei Zhang
,
Yanjie Wang
,
Honghai Sun
,
Z. Yao
,
Shu-you He
2015
Corpus ID: 56083786
Recent years have seen greater interests in the tracking-by-detection methods in the visual object tracking, because of their…
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2013
2013
A local mixture based SVM for an efficient supervised binary classification
Yara Rizk
,
Nicholas Mitri
,
M. Awad
IEEE International Joint Conference on Neural…
2013
Corpus ID: 7466379
Despite support vector machines' (SVM) robustness and optimality, SVM do not scale well computationally. Suffering from slow…
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2012
2012
A modified Kernelized Fuzzy C-Means algorithm for noisy images segmentation: Application to MRI images
A. Mekhmoukh
,
K. Mokrani
,
M. Cheriet
2012
Corpus ID: 548687
Image segmentation is a low-level processing operation; it is the basis for many applications such as industrial vision and…
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2011
2011
LPV subspace identification using a novel nuclear norm regularization method
P. Gebraad
,
J. Wingerden
,
G. Veen
,
M. Verhaegen
Proceedings of the American Control Conference
2011
Corpus ID: 251732
It is well-known that recently proposed Linear Parameter-Varying (LPV) subspace identification techniques suffer from a curse of…
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2011
2011
Augmenting String-to-Tree Translation Models with Fuzzy Use of Source-side Syntax
Jiajun Zhang
,
Feifei Zhai
,
Chengqing Zong
Conference on Empirical Methods in Natural…
2011
Corpus ID: 1945213
Due to its explicit modeling of the grammaticality of the output via target-side syntax, the string-to-tree model has been shown…
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2009
2009
A semi-supervised approach to question classification
D. Tomás
,
C. Giuliano
The European Symposium on Artificial Neural…
2009
Corpus ID: 2869680
This paper presents a machine learning approach to question classification. We have defined a kernel function based on latent…
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2008
2008
Simultaneous learning of a discriminative projection and prototypes for Nearest-Neighbor classification
M. Villegas
,
Roberto Paredes Palacios
IEEE Conference on Computer Vision and Pattern…
2008
Corpus ID: 104636
Computer vision and image recognition research have a great interest in dimensionality reduction techniques. Generally these…
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2007
2007
Discriminant kernel and regularization parameter learning via semidefinite programming
Jieping Ye
,
Jianhui Chen
,
Shuiwang Ji
International Conference on Machine Learning
2007
Corpus ID: 6963148
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick…
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2005
2005
A Kernel Between Unordered Sets of Data: The Gaussian Mixture Approach
Siwei Lyu
European Conference on Machine Learning
2005
Corpus ID: 9832275
In this paper, we present a new kernel for unordered sets of data of the same type. It works by first fitting a set with a…
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2004
2004
MODELING MULTIVARIATE CROP YIELD DENSITIES WITH FREQUENT EXTREME EVENTS
Shu-Ling Chen
,
M. Miranda
2004
Corpus ID: 153028229
Measuring the lower tail of a crop yield distribution is important for managing agricultural production risk and rating crop…
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