Results 11 to 20 of about 2,235,948 (277)
Targeted Land-Cover Classification [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2014 This paper addresses a specific typology of land-cover classification problems, hereinafter referred to as “targeted land-cover classification,” where the objective is the identification of only one or few specific “targeted” land-cover classes of interest, disregarding all the other potential classes present in the area under analysis.
Marconcini, Mattia +2 more
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Gaussian process domain experts for model adaptation in facial behavior analysis [PDF]
, 2016 We present a novel approach for supervised domain adaptation that is based upon the probabilistic framework of Gaussian processes (GPs). Specifically, we introduce domain-specific GPs as local experts for facial expression classification from face images.
Deisenroth, MP +3 more
core +11 more sources
Multiview Low-Rank Hybrid Dilated Network for SAR Target Recognition Using Limited Training Samples
IEEE Access, 2020 Deep learning (DL) have been intensively exploited for synthetic aperture radar (SAR) target classification, and we have witnessed exciting performances provided by previous studies.
Zhaohui Xue, Mengxue Zhang
doaj +1 more source
Applied Sciences, 2020 Detection and classification of unidentified underwater targets maneuvering in complex underwater environments are critical for active sonar systems.
Seungwoo Lee +4 more
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Target Classification Using Frontal Images Measured by 77 GHz FMCW Radar through DCNN
Applied Sciences, 2022 This paper proposes a target classification method using radar frontal imaging measured by millimeter-wave multiple-input multiple-output (MW-MIMO) radar through deep convolutional neural networks.
Mohamed Elbeialy +3 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Nowadays, the developed deep neural networks (DNNs) have been widely applied to synthetic aperture radar (SAR) image interpretation, such as target classification and recognition, which can automatically learn high-level semantic features in data-driven ...
Hao Pei +4 more
doaj +1 more source
Interactive Attention Networks for Aspect-Level Sentiment Classification [PDF]
, 2017 Aspect-level sentiment classification aims at identifying the sentiment polarity of specific target in its context. Previous approaches have realized the importance of targets in sentiment classification and developed various methods with the goal of ...
Li, Sujian +3 more
core +1 more source
Design and Test of a Sorting Device Based on Machine Vision
IEEE Access, 2020 At present, the sorting of agricultural products in China mainly relies on manual labour, which results in low efficiency, and the development of corresponding automatic equipment lags behind.
Kai Zhou +4 more
doaj +1 more source
Acoustic target classification [PDF]
, 2018 Species identification is “the grand challenge” (MacLennan and Holliday, 1996) for acoustic methods used to estimate fish abundance (Simmonds and MacLennan, 2005). Acoustic survey methods are continuously improved to increase the accuracy of acoustic classification and thereby reduce the uncertainty of abundance estimates.
openaire +5 more sources
A Machine Learning Based Vehicle Classification in Forward Scattering Radar
IEEE Access, 2022 The Forward scattering radars (FSRs) are special types of Bistatic radars in which detected targets should exist in the narrow baseline to obtain their tracking at an angle of 180 degree.
Mohammed E. A. Kanona +8 more
doaj +1 more source