Articles with "feature learning" as a keyword



Multi-task clustering ELM for VIS-NIR cross-modal feature learning

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Published in 2017 at "Multidimensional Systems and Signal Processing"

DOI: 10.1007/s11045-016-0401-8

Abstract: Extreme learning machine (ELM) as a new emergent and efficient machine learning algorithm has shown its good performance in many real regression applications as well as large data classification. In this paper, we propose a… read more here.

Keywords: multi task; cross; feature learning; cross modal ... See more keywords
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WTAOF-ILPB Based Feature Learning and LFSSOA-RBFNN Based Classification for Facial Micro-Expression Recognition

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Published in 2021 at "Wireless Personal Communications"

DOI: 10.1007/s11277-021-08794-5

Abstract: Micro-Expressions (ME) has turned out to be one amongst the most vital clues for lies, as well as numerous other applications. It is the brief Facial Expressions (FE) that the people express whilst endeavouring to… read more here.

Keywords: feature learning; micro expression; wtaof ilpb; lfssoa rbfnn ... See more keywords

Predicting and Grouping Digitized Paintings by Style using Unsupervised Feature Learning.

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Published in 2018 at "Journal of cultural heritage"

DOI: 10.1016/j.culher.2017.11.008

Abstract: Objective To create an system to aid in the analysis of art history by classifying and grouping digitized paintings based on stylistic features automatically learned without prior knowledge. Material and Methods 6,776 digitized paintings from… read more here.

Keywords: feature learning; analysis; digitized paintings; grouping digitized ... See more keywords

Degradation stage classification via interpretable feature learning

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Published in 2021 at "Journal of Manufacturing Systems"

DOI: 10.1016/j.jmsy.2021.05.003

Abstract: Abstract Predictive maintenance (PdM) advocates for the usage of machine learning technologies to monitor asset's health conditions and plan maintenance activities accordingly. However, according to the specific degradation process, some health-related measures (e.g. temperature) may… read more here.

Keywords: health; feature learning; feature; stage ... See more keywords

Face recognition using fusion of feature learning techniques

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Published in 2019 at "Measurement"

DOI: 10.1016/j.measurement.2019.06.008

Abstract: Abstract A method for face recognition system for both challenging frontal and profile faces is proposed in this paper. The proposed system consists of face pre-processing, feature extraction and classification components. During pre-processing, a region-of-interest… read more here.

Keywords: face; face recognition; feature learning; feature ... See more keywords

Discriminative feature learning and region consistency activation for robust scene labeling

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Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.03.019

Abstract: This paper presents a learned feature based framework for both outdoor and indoor scene labeling. This framework is combined with a discriminative feature learning process to produce the posteriors of every pixel and a novel… read more here.

Keywords: feature learning; scene; discriminative feature; scene labeling ... See more keywords

Probabilistic regression for autonomous terrain relative navigation via multi-modal feature learning

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Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-81377-z

Abstract: The extension of human spaceflight across an ever-expanding domain, in conjunction with intricate mission architectures demands a paradigm shift in autonomous navigation algorithms, especially for the powered descent phase of planetary landing. Deep learning architectures… read more here.

Keywords: feature learning; navigation; terrain; modal feature ... See more keywords

An Enhanced Feature Learning CNN Using Auto-encoder for Partially Occluded Target Recognition in SAR Imagery

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Published in 2024 at "IETE Journal of Research"

DOI: 10.1080/03772063.2024.2422422

Abstract: Deep learning algorithms have found extensive utility in Automatic Target Recognition (ATR) using Synthetic Aperture Radar (SAR). Despite this, conventional deep learning-based ATR models often lack in their performance when subjected to Extended Operating Conditions… read more here.

Keywords: feature learning; recognition; target; network ... See more keywords

AAFL: automatic association feature learning for gene signature identification of cancer subtypes in single-cell RNA-seq data.

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Published in 2023 at "Briefings in functional genomics"

DOI: 10.1093/bfgp/elac047

Abstract: Single-cell RNA-sequencing (scRNA-seq) technologies have enabled the study of human cancers in individual cells, which explores the cellular heterogeneity and the genotypic status of tumors. Gene signature identification plays an important role in the precise… read more here.

Keywords: cell; cancer subtypes; gene signatures; feature learning ... See more keywords

Finding Abnormal Vessel Trajectories Using Feature Learning

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Published in 2017 at "IEEE Access"

DOI: 10.1109/access.2017.2698208

Abstract: Global Positioning System technology has been widely used in vehicle tracking and road planning applications. An enormous amount of data concerning the trajectories of vehicles has been collected and stored for tracking purposes. A trajectory… read more here.

Keywords: feature learning; trajectory; detection; road ... See more keywords

Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering

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Published in 2017 at "IEEE Access"

DOI: 10.1109/access.2017.2767818

Abstract: Multi-view feature learning aims at improving the performances of learning tasks, by fusing various kinds of features (views), such as heterogeneous features and/or homogeneous features. Current leading multi-view feature learning approaches usually learn features in… read more here.

Keywords: view feature; feature learning; view; multi view ... See more keywords