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Compact feature learning for multimedia retrieval
Published 2019“…Particularly, we present four compact feature learning methods. Experimental results in benchmark retrieval datasets and comparisons with popular feature learning and hashing methods have demonstrated the effectiveness of our proposed methods.…”
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Hierarchical feature learning for image categorization
Published 2015“…The goal of this thesis is to present various feature learning architectures for the problem of object/scene image categorization. …”
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On kernel and feature learning in neural networks
Published 2022“…<p>Inspired by the theory of wide neural networks (NNs), kernel learning and feature learning have recently emerged as two paradigms through which we can understand the complex behaviours of large-scale deep learning systems in practice. …”
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Discriminating features learning in hand gesture classification
Published 2015-10-01Subjects: Get full text
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Feature learning for RGB-D scene understanding
Published 2016“…Inspired by the success of unsupervised feature learning, we start by adapting the existing unsupervised feature learning technique to directly learn features from RGB-D images. …”
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DNet: Dynamic Neighborhood Feature Learning in Point Cloud
Published 2021-03-01Subjects: Get full text
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Multi-Scale Adversarial Feature Learning for Saliency Detection
Published 2018-10-01“…Since the GAN shows a superior feature learning ability, we present a new multi-scale adversarial feature learning (MAFL) model for image saliency detection. …”
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Age-Invariant Adversarial Feature Learning for Kinship Verification
Published 2022-02-01“…This paper accordingly proposes an Age-Invariant Adversarial Feature learning module (AIAF), which is capable of factoring in full facial features to create two uncorrelated components, i.e., identity-related features and age-related features. …”
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Feature Learning Viewpoint of Adaboost and a New Algorithm
Published 2019-01-01Subjects: Get full text
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Pairwise Constraints Multidimensional Scaling for Discriminative Feature Learning
Published 2022-11-01Subjects: “…discriminative feature learning…”
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Structure-enhanced pairwise feature learning for face clustering
Published 2023-03-01“…Specifically, we propose a novel clustering framework, named structure-enhanced pairwise feature learning (SEPFL), which mixes neighborhood information to adaptively produce pairwise representations for cluster identification. …”
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Feature Learning for Fingerprint-Based Positioning in Indoor Environment
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Foundations of Machine Learning: Over-parameterization and Feature Learning
Published 2023“…Moreover, the mechanism identified in our work provides a backpropagation-free method for feature learning with any machine learning model. To demonstrate the effectiveness of this feature learning mechanism, we use it to enable feature learning in kernel machines. …”
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Triple-view feature learning for medical image segmentation
Published 2022“…It uses triple-view feature learning on a limited amount of labelled data and a large amount of unlabeled data. …”
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Multi-Level Joint Feature Learning for Person Re-Identification
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Hybrid feature learning framework for the classification of encrypted network traffic
Published 2023-12-01“…Additionally, various feature learning frameworks based on deep learning, such as DNN, Autoencoder and PCA, are compared. …”
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A Sensor Image Dehazing Algorithm Based on Feature Learning
Published 2018-08-01Subjects: Get full text
Article