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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
Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Border-Sensitive Learning in Kernelized Learning Vector Quantization
M. Kästner
,
M. Riedel
,
M. Strickert
,
Wieland Hermann
,
T. Villmann
International Work-Conference on Artificial and…
2013
Corpus ID: 22271039
Prototype based classification approaches are powerful classifiers for class discrimination of vectorial data. Famous examples…
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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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2012
2012
Verb Classification using Distributional Similarity in Syntactic and Semantic Structures
D. Croce
,
Alessandro Moschitti
,
Roberto Basili
,
Martha Palmer
Annual Meeting of the Association for…
2012
Corpus ID: 11765497
In this paper, we propose innovative representations for automatic classification of verbs according to mainstream linguistic…
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2009
2009
A semi-supervised approach to question classification
David Tomás
,
Claudio 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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2007
2007
A New Two-Level Associative Memory for Efficient Pattern Restoration
Benjamín Cruz
,
H. Sossa
,
Ricardo Barrón
Neural Processing Letters
2007
Corpus ID: 10986294
Pattern reconstruction or pattern restoration in the presence of noise is a main problem in pattern recognition. An essential…
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2007
2007
On Cluster Validity for Kernelized Fuzzy C-Mean Algorithm
Y. Pu
2007
Corpus ID: 63326810
For the sake of evaluating the quality of cluster results obtained by the KFCM(kernelized fuzzy c-means)algorithm,six noted…
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2005
2005
Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier
Hang-Hang Tong
,
Chongrong Li
,
+4 authors
Xing Li
International Symposium on Neural Networks
2005
Corpus ID: 18804500
As a crucial issue in computer network security, anomaly detection is receiving more and more attention from both application and…
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2005
2005
A Case Study of Data-driven Interpretable Fuzzy Modeling
Xing Zong
2005
Corpus ID: 14664524
An approach to identify interpretable fuzzy models from data is proposed.Interpretabil- ity,which is one of the most important…
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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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2002
2002
A Spin-Glass Markov Random Field for 3-D Object Recognition
B. Caputo
,
J. Hornegger
,
D. Paulus
,
H. Niemann
2002
Corpus ID: 13895625
In this paper we present a new energy function for MRF which is inspired by models of physics of disordered systems. This energy…
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