CODE: MATLAB implementation of Discriminative Compact Pyramids for Object and Scene Recognition

Elfiky Noha; Shahbaz Khan Fahad; van de Weijer Joost; Gonzàlez Jordi

CODE: MATLAB implementation of Discriminative Compact Pyramids for Object and Scene Recognition

Translated title of the contribution: Source Code in MATLAB of Discriminative Compact Pyramids for Object and Scene Recognition. We proposed a novel discriminatively compact pyramid image representation for image classification.: Windows, Ubuntu. Matlab

Elfiky Noha, Shahbaz Khan Fahad, van de Weijer Joost, Gonzàlez Jordi

Department of Computer Science

Research output: Non-textual form › Software › Research

Abstract

Spatial pyramids are formed by representing an image using weighted multi-resolution histograms, which are obtained by repeatedly sub-dividing an image into increasingly finer sub-regions. We release the basis of the novel pyramids based on the Divisive Information Theoretic feature Clustering (DITC) theory. http://iselab.cvc.uab.es/DiscriminativePR/DITC_Code_v3.0.zip

Translated title of the contribution	Source Code in MATLAB of Discriminative Compact Pyramids for Object and Scene Recognition. We proposed a novel discriminatively compact pyramid image representation for image classification.: Windows, Ubuntu. Matlab
Original language	Undefined/Unknown
Publication status	Published - 4 Jun 2012

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title = "CODE: MATLAB implementation of Discriminative Compact Pyramids for Object and Scene Recognition",

abstract = "Spatial pyramids are formed by representing an image using weighted multi-resolution histograms, which are obtained by repeatedly sub-dividing an image into increasingly finer sub-regions. We release the basis of the novel pyramids based on the Divisive Information Theoretic feature Clustering (DITC) theory. http://iselab.cvc.uab.es/DiscriminativePR/DITC_Code_v3.0.zip",

author = "Elfiky Noha and Fahad, {Shahbaz Khan} and Joost, {van de Weijer} and Gonz{\`a}lez Jordi",

year = "2012",

month = jun,

day = "4",

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TY - ADVS

T1 - CODE: MATLAB implementation of Discriminative Compact Pyramids for Object and Scene Recognition

AU - Noha, Elfiky

AU - Fahad, Shahbaz Khan

AU - Joost, van de Weijer

AU - Jordi, Gonzàlez

PY - 2012/6/4

Y1 - 2012/6/4

N2 - Spatial pyramids are formed by representing an image using weighted multi-resolution histograms, which are obtained by repeatedly sub-dividing an image into increasingly finer sub-regions. We release the basis of the novel pyramids based on the Divisive Information Theoretic feature Clustering (DITC) theory. http://iselab.cvc.uab.es/DiscriminativePR/DITC_Code_v3.0.zip

AB - Spatial pyramids are formed by representing an image using weighted multi-resolution histograms, which are obtained by repeatedly sub-dividing an image into increasingly finer sub-regions. We release the basis of the novel pyramids based on the Divisive Information Theoretic feature Clustering (DITC) theory. http://iselab.cvc.uab.es/DiscriminativePR/DITC_Code_v3.0.zip

M3 - Software

ER -