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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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Papers overview

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2018
2018
Edge computing pushes the cloud computing boundaries beyond uncertain network resource by leveraging computational processes… 
2013
2013
In this paper, a new modeling approach is proposed for common and specific feature extraction. The original space of a mode can… 
2012
2012
Image segmentation is a low-level processing operation; it is the basis for many applications such as industrial vision and… 
Review
2007
Review
2007
In the article the application of kernel functions – the so-called »kernel trick« – in the context of Fisher’s approach to linear… 
Highly Cited
2004
Highly Cited
2004
This paper addresses the problem of coordinating multiple heterogeneous sensing platforms performing a search mission for a… 
2002
2002
Forward Decoding Kernel Machines (FDKM) combine largemargin classifiers with Hidden Markov Models (HMM) for Maximum a Posteriori… 
1987
1987
A good problem representation incorporates important problem constraints while hiding superfluous detail. This paper presents… 
Review
1979
Review
1979
  • J. P. Woodward
  • 1979
  • Corpus ID: 34839247
The need for secure computer systems has been identified in many areas of DoD operations, but in the past these systems have not…