Programming Language:Matlab

A Regularized Correntropy Framework for Robust Pattern ...

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This letter proposes a new multiple linear regression model using regularized correntropy for robust pattern recognition. First, we motivate the use of correntropy to improve the robustness of the classicalmean square error (MSE) criterion that is sensiti ...

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AuthorsRan He
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Auto-encoder Based Data Clustering Toolkit

The auto-encoder based data clustering toolkit provides a quick start of clustering based on deep auto-encoder nets. This toolkit can cluster data in feature space with a deep nonlinear nets.

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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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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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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 ...

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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, ...

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AuthorsRan He
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Image Classification Toolkit using Bag-of-Words

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This evaluation toolkit provides a unified framework for evaluating bag-of-words based encoding methods over several standard image classification datasets.

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AuthorsZifeng Wu
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Learning Coupled Feature Spaces for Cross-modal Matchin...

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AuthorsKaiye Wang
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LOMO Feature Extraction and XQDA Metric Learning for Pe...

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This MATLAB package provides the LOMO feature extraction and the XQDA metric learning algorithms proposed in our CVPR 2015 paper. It is fast, and effective for person re-identification. For more details, as well as downloads of extracted features on sever ...

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Multilinear Principal Component Analysis

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This archive contains a Matlab implementation of the Multilinear Principal Component Analysis (MPCA) algorithm and MPCA+LDA, as described in the paper Haiping Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "MPCA: Multilinear Principal Component Analys ...

AuthorsHaiping LU
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NPD Face Detector

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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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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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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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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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Two-dimensional relaxed representation

Q. Dong, Two-dimensional relaxed representation, Neurocomputing

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Uncorrelated Multilinear Discriminant Analysis

This archive contains a Matlab implementation of the Uncorrelated Multilinear Discriminant Analysis (UMLDA) algorithm (as well as its regularized and aggregated versions), as described in the paper: Haiping Lu, K.N. Plataniotis, and A.N. Venetsanopoulo ...

AuthorsHaiping Lu
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Uncorrelated Multilinear Principal Component Analysis

This archive contains a Matlab implementation of the Uncorrelated Multilinear Principal Component Analysis (UMPCA) algorithm, as described in the paper: Haiping Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "Uncorrelated Multilinear Principal Compone ...

AuthorsHaiping Lu
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