Multi-task clustering ELM for VIS-NIR cross-modal feature learning
Sign Up to like & getrecommendations! 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
WTAOF-ILPB Based Feature Learning and LFSSOA-RBFNN Based Classification for Facial Micro-Expression Recognition
Sign Up to like & getrecommendations! 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.
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
AAFL: automatic association feature learning for gene signature identification of cancer subtypes in single-cell RNA-seq data.
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Automatic Magnetic Resonance Image Prostate Segmentation Based on Adaptive Feature Learning Probability Boosting Tree Initialization and CNN-ASM Refinement
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2781278
Abstract: This paper proposes a method based on the active shape model (ASM) to segment the prostate in magnetic resonance (MR) images. Due to the great variability in appearance among different boundaries of the prostate and… read more here.
Keywords: feature learning; prostate; asm; segmentation ... See more keywords
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