Fisher kernel

In statistical classification, the Fisher kernel, named after Ronald Fisher, is a function that measures the similarity of two objects on the basis… (More)
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Topic mentions per year

Topic mentions per year

1999-2017
05101519992017

Papers overview

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Highly Cited
2013
Highly Cited
2013
A standard approach to describe an image for classification and retrieval purposes is to extract a set of local patch descriptors… (More)
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Highly Cited
2011
Highly Cited
2011
We introduce an extension of bag-of-words image representations to encode spatial layout. Using the Fisher kernel framework we… (More)
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Highly Cited
2010
Highly Cited
2010
The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the… (More)
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Highly Cited
2010
Highly Cited
2010
The problem of large-scale image search has been traditionally addressed with the bag-of-visual-words (BOV). In this article, we… (More)
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Highly Cited
2007
Highly Cited
2007
Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative… (More)
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2004
2004
We introduce a kernel for structured data, which is an extension of the Fisher kernel used for sequences. In our approach, we… (More)
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Highly Cited
2004
Highly Cited
2004
We describe several families of k-mer based string kernels related to the recently presented mismatch kernel and designed for use… (More)
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Highly Cited
2003
Highly Cited
2003
Over the last years significant efforts have been made to develop kernels that can be applied to sequence data such as DNA, text… (More)
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Highly Cited
2002
Highly Cited
2002
We introduce a class of string kernels, called mismatch kernels, for use with support vector machines (SVMs) in a discriminative… (More)
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Highly Cited
1999
Highly Cited
1999
A new method, called the Fisher kernel method, for detecting remote protein homologies is introduced and shown to perform well in… (More)
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