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Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization
TLDR
We propose a multi-scale patch based CRC method, while the ensemble of multi- scale outputs is achieved by regularized margin distribution optimization. Expand
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Unsupervised feature selection by regularized self-representation
TLDR
We propose a regularized self-representation (RSR) model for unsupervised feature selection, where each feature can be represented as linear combination of its relevant features. Expand
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Metasample-Based Sparse Representation for Tumor Classification
TLDR
A reliable and accurate identification of the type of tumors is crucial to the proper treatment of cancers. Expand
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Image Set-Based Collaborative Representation for Face Recognition
TLDR
In this paper, we propose a novel image set-based collaborative representation and classification method for ISFR. Expand
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Robust Kernel Representation With Statistical Local Features for Face Recognition
TLDR
We propose a novel robust kernel representation model with statistical local features (SLF) for robust face recognition. Expand
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Gabor feature based robust representation and classification for face recognition with Gabor occlusion dictionary
TLDR
A Gabor feature based robust representation and classification (GRRC) scheme is proposed for face recognition (FR) based on sparse representation based classification (SRC). Expand
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Foundations Of Soft Case-Based Reasoning
FOREWORD.PREFACE.ABOUT THE AUTHORS.1 INTRODUCTION.1.1 Background.1.2 Components and Features of Case-Based Reasoning.1.2.1 CBR System versus Rule-Based System.1.2.2 CBR versus Human Reasoning.1.2.3Expand
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Two Dimensional Laplacianfaces Method for Face Recognition
TLDR
In this paper we propose the two dimensional Laplacianfaces method for face recognition. Expand
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Monogenic Binary Coding: An Efficient Local Feature Extraction Approach to Face Recognition
TLDR
We propose a new and efficient local feature extraction scheme, namely monogenic binary coding (MBC), for face representation and recognition. Expand
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