Drusen Segmentation From Retinal Images via Supervised Feature Learning
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2786271
Abstract: This paper presents a supervised feature learning method to learn discriminative and compact descriptors for drusen segmentation from retinal images. This method combines generalized low rank approximation of matrices with supervised manifold regularization to learn… read more here.
Keywords: feature learning; drusen segmentation; supervised feature; segmentation retinal ... See more keywords
Self-Supervised Feature Learning for Long-Term Metric Visual Localization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3227866
Abstract: Visual localization is the task of estimating camera pose in a known scene, which is an essential problem in robotics and computer vision. However, long-term visual localization is still a challenge due to the environmental… read more here.
Keywords: long term; localization; visual localization; supervised feature ... See more keywords
Sparse Trace Ratio LDA for Supervised Feature Selection.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2023.3264907
Abstract: Classification is a fundamental task in the field of data mining. Unfortunately, high-dimensional data often degrade the performance of classification. To solve this problem, dimensionality reduction is usually adopted as an essential preprocessing technique, which… read more here.
Keywords: lda; classification; supervised feature; feature selection ... See more keywords
Self-Supervised Feature Representation and Few-Shot Land Cover Classification of Multimodal Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3217893
Abstract: Although deep learning-based approaches have made significant progress in remote sensing (RS) image classification, the supervised learning paradigm has shortcomings under a limited number of labeled samples, which restricts the classification performance to a great… read more here.
Keywords: remote sensing; classification; feature; feature representation ... See more keywords
Binary Label Learning for Semi-Supervised Feature Selection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3109243
Abstract: Semi-supervised feature selection methods jointly exploit the labelled and unlabelled samples when selecting the features. Under the semi-supervised learning scenario, the number of labelled data significantly impacts the feature selection performance. In this paper, we… read more here.
Keywords: semi supervised; supervised feature; feature selection; selection ... See more keywords
Generalized Embedding Regression: A Framework for Supervised Feature Extraction.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2020.3027602
Abstract: Sparse discriminative projection learning has attracted much attention due to its good performance in recognition tasks. In this article, a framework called generalized embedding regression (GER) is proposed, which can simultaneously perform low-dimensional embedding and… read more here.
Keywords: generalized embedding; regression; framework; supervised feature ... See more keywords