Results 51 to 60 of about 427,913 (167)
Structure Preserving Non-negative Feature Self-Representation for Unsupervised Feature Selection
IEEE Access, 2017 Inspired by the importance of self-representation and structure-preserving ability of features, in this paper, we propose a novel unsupervised feature selection algorithm named structure-preserving non-negative feature self-representation (SPNFSR).
Wei Zhou +3 more
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Random Feature Representation Boosting
We introduce Random Feature Representation Boosting (RFRBoost), a novel method for constructing deep residual random feature neural networks (RFNNs) using boosting theory. RFRBoost uses random features at each layer to learn the functional gradient of the network representation, enhancing performance while preserving the convex optimization benefits of
Zozoulenko, Nikita +2 more
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Editorial: Deep learning in crop diseases and insect pests
Frontiers in Plant Science, 2023 Peng Chen, Rujing Wang, Po Yang
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FeTT: Class-Incremental Learning with Feature Transformation Tuning
MathematicsClass-incremental learning (CIL) enables models to continuously acquire knowledge and adapt in an ever-changing environment. However, one primary challenge lies in the trade-off between the stability and plasticity, i.e., plastically expand the novel ...
Sunyuan Qiang, Yanyan Liang
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Fast Binary Coding for the Scene Classification of High-Resolution Remote Sensing Imagery
Remote Sensing, 2016 Scene classification of high-resolution remote sensing (HRRS) imagery is an important task in the intelligent processing of remote sensing images and has attracted much attention in recent years.
Fan Hu +4 more
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A Novel Feature Representation and Clustering for Histogram-Valued Data
MathematicsIn an era where large-scale data are produced and collected rapidly, great interest is attributed to symbolic data analysis in order to explore connotative and significant information from massive data.
Qing Zhao, Huiwen Wang
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Probabilistic and Biologically Inspired Feature Representations
, 2018 Under the title "Probabilistic and Biologically Inspired Feature Representations," this text collects a substantial amount of work on the topic of channel representations. Channel representations are a biologically motivated, wavelet-like approach to visual feature descriptors: they are local and compact, they form a computational framework, and the ...
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Boundary Representation-Based Feature Recognition
Jurnal Teknologi, 1997 This paper introduces an ongoing research which is aimed at the development of an intelligent form feature extraction system from Computer Aided Design (CAD) database, a high level data structure form useful for Computer Aided Manufacturing (CAM) such as Automated Process Planning System (APPS).
Napsiah Ismail, Nooh Abu Bakar
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Joint Feature and Similarity Deep Learning for Vehicle Re-identification
IEEE Access, 2018 In this paper, a joint feature and similarity deep learning (JFSDL) method for vehicle reidentification is proposed. The proposed JFSDL method applies a siamese deep network to extract deep learning features for an input vehicle image pair simultaneously.
Jianqing Zhu +5 more
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Multi-Feature Fusion for Enhanced Feature Representation in Automatic Modulation Recognition
IEEE AccessModulation recognition plays a crucial role in the efficient management of spectrum resources. However, traditional methods have long posed challenges for researchers due to their excessive reliance on manual effort. With the advancement of deep learning,
Jiuxiao Cao +6 more
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