Negative correlation learning in the extreme learning machine framework
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-04788-9
Abstract: Extreme learning machine (ELM) has shown to be a suitable algorithm for classification problems. Several ensemble meta-algorithms have been developed in order to generalize the results of ELM models. Ensemble approaches introduced in the ELM… read more here.
Keywords: negative correlation; extreme learning; learning machine; correlation learning ... See more keywords
Novel genetic-based negative correlation learning for estimating soil temperature
Sign Up to like & getrecommendations! Published in 2018 at "Engineering Applications of Computational Fluid Mechanics"
DOI: 10.1080/19942060.2018.1463871
Abstract: ABSTRACT A genetic-based neural network ensemble (GNNE) is applied for estimation of daily soil temperatures (DST) at distinct depths. A sequential genetic-based negative correlation learning algorithm (SGNCL) is adopted to train the GNNE parameters. CLMS… read more here.
Keywords: negative correlation; correlation learning; soil; genetic based ... See more keywords
Quaternion-Valued Correlation Learning for Few-Shot Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3223150
Abstract: Few-shot segmentation (FSS) aims to segment unseen classes given only a few annotated samples. Encouraging progress has been made for FSS by leveraging semantic features learned from base classes with sufficient training samples to represent… read more here.
Keywords: valued correlation; correlation learning; quaternion valued; quaternion ... See more keywords
Hashing With Pairwise Correlation Learning and Reconstruction
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DOI: 10.1109/tmm.2016.2614858
Abstract: Existing hashing methods normally define certain specific forms of hash functions, after which an objective function can be formulated to optimize the loss on training set to learn the parameters. However, in this way, the… read more here.
Keywords: correlation; learning reconstruction; correlation learning; pairwise correlation ... See more keywords
Nonlinear Regression via Deep Negative Correlation Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2943860
Abstract: Nonlinear regression has been extensively employed in many computer vision problems (e.g., crowd counting, age estimation, affective computing). Under the umbrella of deep learning, two common solutions exist i) transforming nonlinear regression to a robust… read more here.
Keywords: regression; nonlinear regression; negative correlation; proposed method ... See more keywords
Discriminative Fusion Correlation Learning for Visible and Infrared Tracking
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/2437521
Abstract: Discriminative correlation filter- (DCF-) based trackers are computationally efficient and achieve excellent tracking in challenging applications. However, most of them suffer low accuracy and robustness due to the lack of diversity information extracted from a… read more here.
Keywords: fusion correlation; correlation learning; visible infrared; fusion ... See more keywords
Correlation of learning disabilities to porn addiction based on EEG
Sign Up to like & getrecommendations! Published in 2021 at "Bulletin of Electrical Engineering and Informatics"
DOI: 10.11591/eei.v10i1.2462
Abstract: Researchers were able to correlate porn addiction based on electroencephalogram (EEG) signal analysis to the psychological instruments’ findings. In this paper we attempt to correlate the porn addiction to various cases of learning disorders through… read more here.
Keywords: addiction; addiction based; learning disorders; porn addiction ... See more keywords