Bagging PCA Hashing

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The proposed hashing algorithm leverages the bootstrap sampling idea and integrates it with PCA, resulting in a new projection method called Bagging PCA Hashing.

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Online Sketching Hashing

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This is an online hashing algorithm which can handle the stream data with low computational cost.

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Hierarchical Recurrent Neural Network for Skeleton Base...

AuthorsYong Du
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pattern_recognition_tool Popular

a tool for marking samples in images for database building, also including algorithm of LBP,HOG,and classifiers of SVM (six kernels), adaboost,BP and convolutional networks, extreme learning machine.

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Efficient PSD Constrained Asymmetric Metric Learning fo...

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This MATLAB package provides the MLAPG algorithm proposed in our ICCV 2015 paper. It is efficient for PSD constrained metric learning, and also effective for person re-identification. For more details, please visit http://www.cbsr.ia.ac.cn/users/scliao/pr ...

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NPD Face Detector Training

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This MATLAB package provides the Deep Quadratic Tree (DQT) and the Normalized Pixel Difference (NPD) based face detector training method proposed in our PAMI 2015 paper. It is fast, and effective for unconstrained face detection. For more details, please ...

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Face recognition via Weighted Sparse Representation

This package includes the MATLAB code of the locality Weighted Sparse Representation based Classification (WSRC) algorithm. WSRC utilizes both data locality and linearity; it can be regarded as extensions of Sparse Representation based Classification (SRC ...

NPD Face Detector

★★★★★

This MATLAB package provides the NPD face detector proposed in our PAMI paper. It is fast, and effective for unconstrained face detection. For more details, please visit http://www.cbsr.ia.ac.cn/users/scliao/projects/npdface/.

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Java Machine Learning Platform(JMLP)

Jmlp is a java platform for both of the machine learning experiments and application. I have tested it on the window platform. But it should be applicable in the linux platform due to the cross-platform of Java language. It contains the classical classifi ...

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Histogram of Oriented Gradient

This is an exact implementation of Histogram of Oriented Gradient as mentioned in the paper by Dalal.

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Semi-supervised Learning and Feature Evaluation for RGB...

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This toolbox provides a semi-supervised learning framework based on co-training for RGB-D object recognition. Besides, we evaluate four state-of-the-art feature learning methods under the framework.

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RFD

This is an unoptimized implementation of the RFD binary descriptor, which is published in the following paper. B. Fan, et al. Receptive Fields Selection for Binary Feature Description. IEEE Transaction on Image Processing, 2014. doi: http://dx.doi.org/ ...

AuthorsBin Fan
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Learning Coupled Feature Spaces for Cross-modal Matchin...

AuthorsKaiye Wang
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Two-dimensional relaxed representation

Q. Dong, Two-dimensional relaxed representation, Neurocomputing

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Half-quadratic based Iterative Minimization for Robust ...

Robust sparse representation has shown significant potential in solving challenging problems in computer vision such as biometrics and visual surveillance. Although several robust sparse models have been proposed and promising results have been obtained, ...

AuthorsRan He
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MROGH v1.1

This files are an implementation of the MROGH descriptor proposed in "Bin Fan, Fuchao Wu and Zhanyi Hu, Aggregating Gradient Distributions into Intensity Orders: A Novel Local Image Descriptor,CVPR 2011,pp.2377-2384" and "Bin Fan, Fuchao Wu and Zhanyi Hu, ...

AuthorsBin Fan
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MROGH

An implementation of MROGH descriptor. For more information, please refer to: “Bin Fan, Fuchao Wu and Zhanyi Hu, Aggregating Gradient Distributions into Intensity Orders: A Novel Local Image Descriptor, CVPR 2011, pp.2377-2384.” The most up-to-date infor ...

AuthorsBin Fan
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