Multi-Manifold Locality Graph Embedding Based on the Maximum Margin Criterion (MLGE/MMC) for Face Recognition
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DOI: 10.1109/access.2017.2706525
Abstract: Solving problems with small sample sizes during training for feature extraction and the dimensionality reduction method will not produce high face recognition accuracy using the locality graph embedding (LGE) algorithm. Thus, we introduced a new… read more here.
Keywords: maximum margin; graph embedding; locality graph; margin criterion ... See more keywords
Recursive Maximum Margin Active Learning
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DOI: 10.1109/access.2019.2915334
Abstract: Active learning is an important technique to alleviate the problem when there is abundant unlabeled data but scarce labeled data. It aims to choose the most valuable samples to label in order to build powerful… read more here.
Keywords: maximum margin; recursive maximum; learning; active learning ... See more keywords
Union of Class-Dependent Collaborative Representation Based on Maximum Margin Projection for Hyperspectral Imagery Classification
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DOI: 10.1109/jstars.2020.3038456
Abstract: This article proposed a novel spectral-spatial classification framework for hyperspectral image (HSI) through combining collaborative representation (CR) and maximum margin projection (MMP). First, class-dependent CR classifier (CDCRC) is used on HSI classification to fully make… read more here.
Keywords: maximum margin; margin projection; collaborative representation; class ... See more keywords
A simulated annealing‐based maximum‐margin clustering algorithm
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DOI: 10.1111/coin.12187
Abstract: Maximum‐margin clustering is an extension of the support vector machine (SVM) to clustering. It partitions a set of unlabeled data into multiple groups by finding hyperplanes with the largest margins. Although existing algorithms have shown… read more here.
Keywords: maximum margin; annealing based; margin clustering; based maximum ... See more keywords