An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features
Sign Up to like & getrecommendations! 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
Hierarchical Feature Aggregation and Self-Learning Network for Remote Sensing Image Continuous-Scale Super-Resolution
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A Method of Hierarchical Feature Fusion and Connected Attention Architecture for Pavement Crack Detection
Sign Up to like & getrecommendations! 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
Signals hierarchical feature enhancement method for CNN-based fault diagnosis
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
HFD: Hierarchical Feature Detector for Stem End of Pomelo with Transformers
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DOI: 10.3390/app13084976
Abstract: Transformers have become increasingly prevalent in computer vision research, especially for object detection. To accurately and efficiently distinguish the stem end of pomelo from its black spots, we propose a hierarchical feature detector, which reconfigures… read more here.
Keywords: hierarchical feature; stem end; feature detector; end pomelo ... See more keywords
Hierarchical Feature Aggregation from Body Parts for Misalignment Robust Person Re-Identification
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DOI: 10.3390/app9112255
Abstract: In this work, we focus on the misalignment problem in person re-identification. Human body parts commonly contain discriminative local representations relevant with identity recognition. However, the representations are easily affected by misalignment that is due… read more here.
Keywords: body; misalignment robust; body parts; person identification ... See more keywords