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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 informationGenerative modelHidden Markov modelKernel method

Papers overview

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2018
2018
A novel image retrieval based on rectangular spatial histograms of visual words
Content-based image retrieval (CBIR) provides a solution to search the images that are similar to a query image. From last few… 
2016
2016
A Novel Local Structure Descriptor for Color Image Retrieval
A novel local structure descriptor (LSD) for color image retrieval is proposed in this paper. Local structures are defined based… 
2015
2015
Boosting 3D model retrieval with class vocabularies and distance vector revision
Visual-based 3D model retrieval presents great potential, for its broad application prospects and relatively high accuracy. A… 
2013
2013
Face Recognition Using SVM Based on LDA
We present a method for face recognition that investigate the overall performance of linear ,polynomial and RBF kernel of SVM for… 
2010
2010
A Bag-of-Pages Approach to Unordered Multi-page Document Classification
We consider the problem of classifying documents containing multiple unordered pages. For this purpose, we propose a novel bag-of… 
2006
2006
Application of Semi-supervised Learning to Evaluative Expression Classification
We propose to use semi-supervised learning methods to classify evaluative expressions, that is, tuples of subjects, their… 
2006
2006
Fisher Kernels for Relational Data
Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational… 
2006
2006
Revisiting Fisher Kernels for Document Similarities
This paper presents a new metric to compute similarities between textual documents, based on the Fisher information kernel as… 
2005
2005
Fisher+Kernel criterion for discriminant analysis
We simultaneously approach two tasks of nonlinear discriminant analysis and kernel selection problem by proposing a unified… 
2001
2001
WBC SVM : Weighted Bayesian Classification based on Support Vector Machines
This paper introduces an algorithm that combines naïve Bayes classification with feature weighting. Most of the related… 
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