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Pattern recognition lab, an image classification toolbox using Knn classifier and corss-validation.

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1, Data:

BnuCampus images and annotations.

2, DbInit:

Reading imageset with single or multiple labels into standard interface.

3, FeatureLbp:

Local Binary Pattern & Local Phase Quantization, based on (

4, FeatureColorDescriptors:

Wrapped Koen's code (

5, FeatureAsift:

Based on Yu's code (

6, FeatureDctQuantZigzag:

Discrete Cosine Transform, including quantization and zigzag-scanning.

7, ScSPM, according to the code by Jianchao Yang @ NEC Research Lab America (Cupertino).

8, KNN classifier:

Divide the training and test images (using cross validation), extract block features from multiple resolutions of each image, find nearest K samples to map their labels to test samples.

MATLAB release MATLAB 7.10 (R2010a)
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Comments and Ratings (2)
02 Apr 2014 meriouma meriiouma

how can i run it please?

Comment only
28 Dec 2012 javad

javad (view profile)


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