Bi-directional class-wise adversaries for unsupervised domain adaptation
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02609-7
Abstract: Unsupervised domain adaptation relies on well-labeled auxiliary source domain information to get better performance on the unlabeled target domain. It has shown tremendous importance for various classification and segmentation problems. Classical methods rely on diminishing… read more here.
Keywords: class; class wise; domain adaptation; domain ... See more keywords
Class-wise dictionary learning for hyperspectral image classification
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DOI: 10.1016/j.neucom.2016.05.101
Abstract: Abstract In order to effectively exploit the intra-class and inter-class structure information, we propose a new class-wise dictionary learning method for hyperspectral image classification. First, we construct two special manifold regularizers to encourage intra-class basis… read more here.
Keywords: classification; wise dictionary; class; class wise ... See more keywords
Exploiting class-wise coding coefficients: Learning a discriminative dictionary for pattern classification
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DOI: 10.1016/j.neucom.2018.09.022
Abstract: Abstract Over the past decade, discriminative dictionary learning (DDL) has demonstrated the great success in various pattern classification problems. However, in previous DDL methods, the scheme that how to generate the effective coding coefficients for… read more here.
Keywords: class wise; classification; discriminative dictionary; coding coefficients ... See more keywords
A Framework to Characterise, Estimate, and Predict Vehicle Class-Agnostic Traffic States and Class-Wise Speeds for Mixed Traffic Conditions
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DOI: 10.1109/access.2024.3437172
Abstract: For homogeneous traffic, where all vehicles are the same type, the traffic state is characterised by speed, flow, density, queue length, etc. In mixed traffic conditions, variations in static and kinematic characteristics among vehicles and… read more here.
Keywords: traffic conditions; class; mixed traffic; class wise ... See more keywords
Unbalancing Datasets to Enhance CNN Models Learnability: A Class-Wise Metrics-Based Closed-Loop Strategy Proposal
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DOI: 10.1109/access.2025.3554395
Abstract: Developing deep learning models often involves working with balanced datasets. However, in real-world scenarios, class equilibrium is rarely observed. To address this, oversampling and undersampling techniques are commonly employed, with appropriate monitoring and countermeasures to… read more here.
Keywords: based closed; class; performance; metrics based ... See more keywords
ClassTer: Mobile Shift-Robust Personalized Federated Learning via Class-Wise Clustering
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2024.3487294
Abstract: The rise of mobile devices with abundant sensor data and computing power has driven the trend of federated learning (FL) on them. Personalized FL (PFL) aims to train tailored models for each device, addressing data… read more here.
Keywords: math; wise clustering; class wise; classter ... See more keywords
Fast Class-Wise Updating for Online Hashing
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DOI: 10.1109/tpami.2020.3042193
Abstract: Online image hashing has received increasing research attention recently, which processes large-scale data in a streaming fashion to update the hash functions on-the-fly. To this end, most existing works exploit this problem under a supervised… read more here.
Keywords: wise updating; class wise; online hashing; class ... See more keywords