FAQ

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

Related topics

Related topics

9 relations
Fisher informationGenerative modelHidden Markov modelKernel method
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Related mentions per year

Related mentions per year

1938-2018
19401960198020002020
Fisher kernel
Support vector machine
Hidden Markov model
Statistical classification
Similarity measure
Generative model

Papers overview

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Highly Cited
2013
Highly Cited
2013
Image Classification with the Fisher Vector: Theory and Practice
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
Modeling spatial layout with fisher vectors for image categorization
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
Improving the Fisher Kernel for Large-Scale Image Classification
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
Large-scale image retrieval with compressed Fisher vectors
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
Fisher Kernels on Visual Vocabularies for Image Categorization
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
Fisher kernel for tree structured data
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
Fast String Kernels using Inexact Matching for Protein Sequences
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
A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications
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
Mismatch String Kernels for SVM Protein Classification
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
Using the Fisher Kernel Method to Detect Remote Protein Homologies
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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