Supervised classification of landforms in Arctic mountains
Sign Up to like & getrecommendations! Published in 2019 at "Permafrost and Periglacial Processes"
DOI: 10.1002/ppp.2015
Abstract: Erosional and sediment fluxes from Arctic mountains are lower than for temperate mountain ranges due to the influence of permafrost on geomorphic processes. As permafrost extent declines in Arctic mountains, the spatial distribution of geomorphic… read more here.
Keywords: topography; supervised classification; geomorphic processes; arctic mountains ... See more keywords
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data.
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in medicine"
DOI: 10.1002/sim.9353
Abstract: Scientific progress has contributed to creating many devices to gather vast amounts of biomedical data over time. The goal of these devices is generally to monitor people's health conditions, diagnose, and prevent patients' diseases, for… read more here.
Keywords: supervised classification; biomedical signals; classification; functional data ... See more keywords
On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Classification"
DOI: 10.1007/s00357-018-9280-z
Abstract: Recent work on fractionally-supervised classification (FSC), an approach that allows classification to be carried out with a fractional amount of weight given to the unlabelled points, is further developed in two respects. The primary development… read more here.
Keywords: fractionally supervised; classification; supervised classification; selection ... See more keywords
A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Grid Computing"
DOI: 10.1007/s10723-020-09526-y
Abstract: Supervised classification based on Contrast Patterns (CP) is a trending topic in the pattern recognition literature, partly because it contains an important family of both understandable and accurate classifiers. In this paper, we survey 105… read more here.
Keywords: classification; supervised classification; based contrast; classification based ... See more keywords
Self-training semi-supervised classification based on density peaks of data
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.072
Abstract: Abstract Having a multitude of unlabeled data and few labeled ones is a common problem in many practical applications. A successful methodology to tackle this problem is self-training semi-supervised classification. In this paper, we introduce… read more here.
Keywords: semi supervised; supervised classification; self training; training semi ... See more keywords
Automated mapping of landforms through the application of supervised classification to lidAR-derived DEMs and the identification of earthquake ruptures
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2017.1372861
Abstract: ABSTRACT The objective of this article was to apply supervised classification to accomplish automated landform mapping using four morphometric parameters. The approach was tested on high-resolution light detection and ranging (lidar) elevation data from the… read more here.
Keywords: morphometric parameters; classification; automated landform; supervised classification ... See more keywords
Deep Constrained Low-Rank Subspace Learning for Multi-View Semi-Supervised Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2923857
Abstract: Semi-supervised classification receives increasing interests because it can predict class labels based on both limited labeled and sufficient unlabeled data. In this letter, we propose a deep constrained low-rank subspace learning (DCLSL) method for multi-view… read more here.
Keywords: low rank; supervised classification; subspace; semi supervised ... See more keywords
DRFL-VAT: Deep Representative Feature Learning with Virtual Adversarial Training for Semi-Supervised Classification of Hyperspectral Image
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3187187
Abstract: While deep learning algorithms have achieved good results in hyperspectral image (HSI) classification, several supervised classification algorithms rely on a large amount of labeled samples to get adequate performance. Collecting a large amount of labeled… read more here.
Keywords: classification; training; supervised classification; drfl vat ... See more keywords
Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems
Sign Up to like & getrecommendations! Published in 2019 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2019/4182639
Abstract: This paper presents a grammatical evolution (GE)-based methodology to automatically design third generation artificial neural networks (ANNs), also known as spiking neural networks (SNNs), for solving supervised classification problems. The proposal performs the SNN design… read more here.
Keywords: methodology; solving supervised; neural networks; supervised classification ... See more keywords
Visible near-infrared hyperspectral imaging and supervised classification for the detection of small intestinal necrosis tissue in vivo.
Sign Up to like & getrecommendations! Published in 2022 at "Biomedical optics express"
DOI: 10.1364/boe.470202
Abstract: Complete recognition of necrotic areas during small bowel tissue resection remains challenging due to the lack of optimal intraoperative aid identification techniques. This research utilizes hyperspectral imaging techniques to automatically distinguish normal and necrotic areas… read more here.
Keywords: intestinal tissue; supervised classification; hyperspectral imaging; small intestinal ... See more keywords
Supervised Classification of Operator Functional State Based on Physiological Data: Application to Drones Swarm Piloting
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2021.770000
Abstract: To improve the safety and the performance of operators involved in risky and demanding missions (like drone operators), human-machine cooperation should be dynamically adapted, in terms of dialogue or function allocation. To support this reconfigurable… read more here.
Keywords: functional state; operator; operator functional; supervised classification ... See more keywords