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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… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Algebraic topology methods have recently played an important role for statistical analysis with complicated geometric structured… Expand
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Highly Cited
2014
Highly Cited
2014
Fisher Kernels and Deep Learning were two developments with significant impact on large-scale object categorization in the last… Expand
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Highly Cited
2014
Highly Cited
2014
We consider the design of a single vector representation for an image that embeds and aggregates a set of local patch descriptors… Expand
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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… Expand
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Highly Cited
2011
Highly Cited
2011
Fisher kernels provide a commonly used vectorial representation of structured objects. The paper presents a technique that… Expand
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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… Expand
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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… Expand
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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… Expand
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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… Expand
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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… Expand
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