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81
Unsupervised Domain Adaptation via Weighted Sequential Discriminative Feature Learning for Sentiment Analysis
Published 2024-01-01“…This potentially leads to instability during shared-feature learning. To tackle this issue, WS-UDA employs a two-stage transfer process concurrently, significantly enhancing model stability and adaptability. …”
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82
Multi-Labeled Recognition of Distribution System Conditions by a Waveform Feature Learning Model
Published 2019-03-01Subjects: Get full text
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83
Feature Learning for Stock Price Prediction Shows a Significant Role of Analyst Rating
Published 2021-03-01Get full text
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84
Cable Incipient Fault Identification Method Using Power Disturbance Waveform Feature Learning
Published 2022-01-01“…This paper fully considers the randomness and uncertainty of CIF waveforms, and proposes a CIF identification method using power disturbance waveform feature learning. Firstly, the shallow features are extracted to characterize the transient components of different disturbance current waveforms, by conducting a stationary wavelet transform. …”
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85
Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning
Published 2016-06-01“…To tackle this problem, a model for deep statistical feature learning from vibration measurements of rotating machinery is presented in this paper. …”
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86
Multi-branch feature learning based speech emotion recognition using SCAR-NET
Published 2023-12-01Subjects: Get full text
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87
Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning
Published 2021-11-01“…These three modules enable a better feature learning of the instance segmentation network. …”
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88
A conditional random field based feature learning framework for battery capacity prediction
Published 2022-08-01“…The model uses LSTM to extract temporal features from the data and CRF to build a transfer matrix to enhance temporal feature learning for long serialization prediction of lithium battery feature sequence data. …”
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89
Predicting Cardiovascular Rehabilitation of Patients with Coronary Artery Disease Using Transfer Feature Learning
Published 2023-01-01Subjects: Get full text
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90
Robust detection of marine life with label-free image feature learning and probability calibration
Published 2023-01-01“…To overcome these obstacles for automated underwater imaging, we combine and test recent developments in deep classifier networks and self-supervised feature learning. We use unlabeled images for pretraining deep neural networks to extract task-relevant image features, allowing learning algorithms to cope with scarcity in expert labels, and carefully evaluate performance in subsequent label-based tasks. …”
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91
MSFL: Explainable Multitask-Based Shared Feature Learning for Multilingual Speech Emotion Recognition
Published 2022-12-01Subjects: Get full text
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92
Parameter sharing and multi-granularity feature learning for cross-modality person re-identification
Published 2023-08-01“…For the part-level feature learning, the hetero-center triplet loss is adopted to alleviate the strict constraints of triplet loss. …”
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93
An Adaptive Feature Learning Model for Sequential Radar High Resolution Range Profile Recognition
Published 2017-07-01Subjects: Get full text
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94
XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers
Published 2022-06-01Get full text
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95
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning
Published 2014-07-01“…In this work we introduce a technique for feature learning from large volumes of bird sound recordings, inspired by techniques that have proven useful in other domains. …”
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96
Visual Feature Learning on Video Object and Human Action Detection: A Systematic Review
Published 2021-12-01Get full text
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97
An overview on data representation learning: From traditional feature learning to recent deep learning
Published 2016-12-01Subjects: Get full text
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98
Robust and accurate pulmonary nodule detection with self-supervised feature learning on domain adaptation
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99
One class based feature learning approach for defect detection using deep autoencoders
Published 2020Get full text
Journal Article -
100
Unsupervised feature learning with sparse Bayesian auto-encoding based extreme learning machine
Published 2022“…Extreme learning machine (ELM) is a popular method in machine learning with extremely few parameters, fast learning speed and model efficiency. Unsupervised feature learning based ELM receives rising research focus. …”
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Journal Article