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   Articles with "hierarchical feature" as a keyword



An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features

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recommendations! Published in 2017 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-017-9541-y

Abstract: Hierarchical feature selection is a new research area in machine learning/data mining, which consists of performing feature selection by exploiting dependency relationships among hierarchically structured features. This paper evaluates four hierarchical feature selection methods, i.e.,… read more here.

Keywords: hierarchical feature; selection methods; ontology; feature selection ... See more keywords

RFHS-RTDETR: Multi-Domain Collaborative Network With Hierarchical Feature Integration for UAV-Based Object Detection

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3586649

Abstract: To address UAV-based detection challenges including scale variation, high target density, and hardware limitations, we propose RFHS-RTDETR with four innovations: (1) RMConv, a reparameterized lightweight module for efficient multi-scale feature extraction; (2) FSConv fusing Scharr… read more here.

Keywords: detection; feature integration; rfhs rtdetr; uav based ... See more keywords

A Hierarchical Feature Extraction and Multimodal Deep Feature Integration-Based Model for Autism Spectrum Disorder Identification

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recommendations! Published in 2025 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2025.3540894

Abstract: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder, and precise prediction using imaging or other biological information is of great significance. However, predicting ASD in individuals presents the following challenges: first, there is extensive… read more here.

Keywords: feature extraction; hierarchical feature; model; deep feature ... See more keywords

Hierarchical Feature Aggregation and Self-Learning Network for Remote Sensing Image Continuous-Scale Super-Resolution

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3122985

Abstract: Conducting research on remote sensing image (RSI) super-resolution (SR) is important, especially in terms of the continuous scale, which is beneficial to the application of RSI, such as RSI object detection and data fusion. Continuous-scale… read more here.

Keywords: network; feature; hierarchical feature; continuous scale ... See more keywords

Hierarchical Feature Fusion and Selection for Hyperspectral Image Classification

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recommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2023.3236672

Abstract: Most existing classification methods design complicated and large deep neural network (DNN) model to deal with the ubiquitous spectral variability and nonlinearity of hyperspectral images (HSIs). However, their application is blocked by limited training samples… read more here.

Keywords: feature fusion; classification; feature; hierarchical feature ... See more keywords

Hierarchical Feature Matching via Structure-Semantic Separation for Road Extraction

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recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3587631

Abstract: Road information derived from remote sensing images is extensively utilized across various fields. Traditionally, road extraction methods relied predominantly on manually designed features, and yet these have progressively evolved toward deep learning-based approaches. Despite robust… read more here.

Keywords: hierarchical feature; road; road extraction; structure semantic ... See more keywords

A Method of Hierarchical Feature Fusion and Connected Attention Architecture for Pavement Crack Detection

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recommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3147669

Abstract: Automatically detecting cracks with uneven strength from a complex background is a valuable and challenging issue. In light of the lost details and the incomplete extracted cracks in the process of crack extraction, we propose… read more here.

Keywords: crack; feature fusion; feature; hierarchical feature ... See more keywords

Efficient Hierarchical Feature Collaboration Transformer for Image Inpainting

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recommendations! Published in 2025 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2025.3543039

Abstract: Existing image inpainting methods face limitations in detail restoration. Although transformer-based models have made certain progress recently, the lack of hierarchical feature interaction and insufficient consideration of the importance of features at different network levels… read more here.

Keywords: image inpainting; image; efficient hierarchical; hierarchical feature ... See more keywords

Signals hierarchical feature enhancement method for CNN-based fault diagnosis

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recommendations! Published in 2022 at "Advances in Mechanical Engineering"

DOI: 10.1177/16878132221125019

Abstract: The high noise and low energy characteristics of the raw signals collected by sensors make the signal features weak and difficult to train. The purpose of this paper is to enhance the fault features of… read more here.

Keywords: feature enhancement; diagnosis; cnn; hierarchical feature ... See more keywords

Mental Arithmetic Task Recognition Using Effective Connectivity and Hierarchical Feature Selection from EEG Signals

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recommendations! Published in 2021 at "Basic and clinical neuroscience"

DOI: 10.32598/bcn.2021.2034.1

Abstract: Introduction: Mental arithmetic analysis based on Electroencephalogram (EEG) signal for monitoring the state of the user’s brain functioning can be helpful for understanding some psychological disorders such as attention deficit hyperactivity disorder, autism spectrum disorder,… read more here.

Keywords: hierarchical feature; mental arithmetic; connectivity; feature ... See more keywords

Siamese hierarchical feature fusion transformer for efficient tracking

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recommendations! Published in 2022 at "Frontiers in Neurorobotics"

DOI: 10.3389/fnbot.2022.1082346

Abstract: Object tracking is a fundamental task in computer vision. Recent years, most of the tracking algorithms are based on deep networks. Trackers with deeper backbones are computationally expensive and can hardly meet the real-time requirements… read more here.

Keywords: feature fusion; hierarchical feature; feature; fusion transformer ... See more keywords