Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

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
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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
  • table 1
  • table 2
  • table 3
Is this relevant?
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
  • figure 1
  • table 1
  • figure 2
  • table 2
  • figure 3
Is this relevant?
Highly Cited
2011
Highly Cited
2011
Fisher kernels provide a commonly used vectorial representation of structured objects. The paper presents a technique that… Expand
  • table 1
  • table 3
  • table 2
  • table 4
Is this relevant?
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
  • figure 1
  • table 1
  • table 2
  • table 3
  • table 4
Is this relevant?
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
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 4
Is this relevant?
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
  • figure 1
  • figure 2
  • table 1
  • table 2
  • figure 3
Is this relevant?
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… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
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
  • table 1
  • table 2
  • table 3
  • figure 1
Is this relevant?
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
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
2002
2002
In this paper we show how the generation of documents can be thought of as a k-stage Markov process, which leads to a Fisher… Expand
  • table 1
Is this relevant?