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Kernel method

Known as: Kernel Methods, KM, Kernel machines 
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

Related topics

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3D reconstructionAdaptive filterArtificial neural networkBioinformatics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Robust Visual Correlation Tracking
Recent years have seen greater interests in the tracking-by-detection methods in the visual object tracking, because of their… 
2012
2012
A modified Kernelized Fuzzy C-Means algorithm for noisy images segmentation: Application to MRI images
Image segmentation is a low-level processing operation; it is the basis for many applications such as industrial vision and… 
2011
2011
Augmenting String-to-Tree Translation Models with Fuzzy Use of Source-side Syntax
Due to its explicit modeling of the grammaticality of the output via target-side syntax, the string-to-tree model has been shown… 
2011
2011
LPV subspace identification using a novel nuclear norm regularization method
It is well-known that recently proposed Linear Parameter-Varying (LPV) subspace identification techniques suffer from a curse of… 
2008
2008
Simultaneous learning of a discriminative projection and prototypes for Nearest-Neighbor classification
Computer vision and image recognition research have a great interest in dimensionality reduction techniques. Generally these… 
2007
2007
Discriminant kernel and regularization parameter learning via semidefinite programming
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick… 
2005
2005
A Case Study of Data-driven Interpretable Fuzzy Modeling
An approach to identify interpretable fuzzy models from data is proposed.Interpretabil- ity,which is one of the most important… 
2005
2005
Engineering of Syntactic Features for Shallow Semantic Parsing
Recent natural language learning research has shown that structural kernels can be effectively used to induce accurate models of… 
2005
2005
Automatische Emotionserkennung aus sprachlicher und manueller Interaktion
Integration emotionaler Aspekte ist Basis naturlicher und zukunftsweisender Mensch-Maschine-Kommunikation. Vor diesem Hintergrund… 
2005
2005
Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier
As a crucial issue in computer network security, anomaly detection is receiving more and more attention from both application and… 
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