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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…
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Fisher information
Generative model
Hidden Markov model
Kernel method
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams
Tam Le
,
M. Yamada
NeurIPS
2018
Corpus ID: 53043297
Algebraic topology methods have recently played an important role for statistical analysis with complicated geometric structured…
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Highly Cited
2014
Highly Cited
2014
Deep Fisher Kernels -- End to End Learning of the Fisher Kernel GMM Parameters
Vladyslav Sydorov
,
M. Sakurada
,
Christoph H. Lampert
IEEE Conference on Computer Vision and Pattern…
2014
Corpus ID: 2623022
Fisher Kernels and Deep Learning were two developments with significant impact on large-scale object categorization in the last…
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Highly Cited
2013
Highly Cited
2013
Image Classification with the Fisher Vector: Theory and Practice
Jorge Sánchez
,
F. Perronnin
,
Thomas Mensink
,
J. Verbeek
International Journal of Computer Vision
2013
Corpus ID: 207252215
A standard approach to describe an image for classification and retrieval purposes is to extract a set of local patch descriptors…
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Highly Cited
2011
Highly Cited
2011
Learning Discriminative Fisher Kernels
L. V. D. Maaten
ICML
2011
Corpus ID: 17766069
Fisher kernels provide a commonly used vectorial representation of structured objects. The paper presents a technique that…
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Highly Cited
2010
Highly Cited
2010
Improving the Fisher Kernel for Large-Scale Image Classification
F. Perronnin
,
Jorge Sánchez
,
Thomas Mensink
ECCV
2010
Corpus ID: 10402702
The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the…
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Highly Cited
2010
Highly Cited
2010
Large-scale image retrieval with compressed Fisher vectors
F. Perronnin
,
Yan Liu
,
Jorge Sánchez
,
H. Poirier
IEEE Computer Society Conference on Computer…
2010
Corpus ID: 16161770
The problem of large-scale image search has been traditionally addressed with the bag-of-visual-words (BOV). In this article, we…
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Highly Cited
2007
Highly Cited
2007
Fisher Kernels on Visual Vocabularies for Image Categorization
F. Perronnin
,
C. Dance
IEEE Conference on Computer Vision and Pattern…
2007
Corpus ID: 12795415
Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative…
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Highly Cited
2003
Highly Cited
2003
A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications
P. Moreno
,
Purdy Ho
,
N. Vasconcelos
NIPS
2003
Corpus ID: 6831693
Over the last years significant efforts have been made to develop kernels that can be applied to sequence data such as DNA, text…
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2002
2002
String Kernels, Fisher Kernels and Finite State Automata
C. Saunders
,
J. Shawe-Taylor
,
Alexei Vinokourov
NIPS
2002
Corpus ID: 13026481
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…
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Highly Cited
2002
Highly Cited
2002
Online handwriting recognition with support vector machines - a kernel approach
C. Bahlmann
,
B. Haasdonk
,
H. Burkhardt
Proceedings Eighth International Workshop on…
2002
Corpus ID: 6477991
In this paper we describe a novel classification approach for online handwriting recognition. The technique combines dynamic time…
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