-
401
EEG-based emotion recognition using machine learning techniques
Published 2018“…Cross-subject transfer learning for calibration-less affective Brain-Computer Interfaces. 3. Unsupervised feature learning for affective Brain-Computer Interfaces. …”
Get full text
Get full text
Thesis -
402
An efficient technique for human verification using finger stripes geometry
Published 2007“…This finger stripe based verification consists of two main attributes, feature extraction by image processing and feature learning by ANN (Artificial Neural Network). The Distance Based Nearest Neighbor Algorithm, which shows greater accuracy than NN is also applied here. …”
Get full text
Article -
403
Challenges and opportunities of deep learning models for machinery fault detection and diagnosis: a review
Published 2019“…The deep architecture's automated feature learning process offers great potential to solve problems with traditional fault detection and diagnosis (TFDD) systems. …”
Get full text
Article -
404
Review of deep convolution neural network in image classification
Published 2017“…With the development of large data age, Convolutional neural networks (CNNs) with more hidden layers have more complex network structure and more powerful feature learning and feature expression abilities than traditional machine learning methods. …”
Get full text
Article -
405
Attention-Based Sequence-to-Sequence Model for Time Series Imputation
Published 2022-12-01“…To solve the problem of high-dimensional time series with missing values, this paper proposes an attention-based sequence-to-sequence model to imputation missing values in time series (ASSM), which is a sequence-to-sequence model based on the combination of feature learning and data computation. The model consists of two parts, encoder and decoder. …”
Get full text
Article -
406
HDS-Net: Achieving fine-grained skin lesion segmentation using hybrid encoding and dynamic sparse attention.
Published 2024-01-01“…Due to the capacity of deep learning models to conduct adaptive feature learning through end-to-end training, they have been widely applied in medical image segmentation tasks. …”
Get full text
Article -
407
Distinct neurocognitive fingerprints reflect differential associations with risky and impulsive behavior in a neurotypical sample
Published 2023-07-01“…Using the neurotypical Nathan Kline Institute Rockland Sample (N = 673), we applied a Bayesian latent feature learning model—the Indian Buffet Process—to identify nuanced, individual-specific profiles of multiple neurocognitive subfunctions and examine their relationship to risky and impulsive behavior. …”
Get full text
Article -
408
Kernel Matrix-Based Heuristic Multiple Kernel Learning
Published 2022-06-01“…Experiments on benchmark datasets and a computer vision feature learning task in explosive hazard detection demonstrate the effectiveness and generalizability of our proposed methods.…”
Get full text
Article -
409
Sub-convolutional U-Net with transformer attention network for end-to-end single-channel speech enhancement
Published 2024-02-01“…Instead of adopting conventional RNNs and temporal convolutional networks for sequence modeling, we employ a novel transformer-based attention network between the sub-convolutional U-Net encoder and decoder for better feature learning. More specifically, it is composed of several adaptive time―frequency attention modules and an adaptive hierarchical attention module, aiming to capture long-term time-frequency dependencies and further aggregate hierarchical contextual information. …”
Get full text
Article -
410
EMG Pattern Recognition in the Era of Big Data and Deep Learning
Published 2018-08-01“…These modern EMG signal analysis methods can be divided into two main categories: (1) methods based on feature engineering involving a promising big data exploration tool called topological data analysis; and (2) methods based on feature learning with a special emphasis on “deep learning”. …”
Get full text
Article -
411
Sparse Weighting for Pyramid Pooling-Based SAR Image Target Recognition
Published 2022-04-01“…In this study, a novel feature learning method for synthetic aperture radar (SAR) image automatic target recognition is presented. …”
Get full text
Article -
412
Classification of West Java Batik Motifs Using Convolutional Neural Network
Published 2023-05-01“…The results carried out for the classification of West Java batik image types using the Convolutional Neural Network (CNN) method that the feature extraction process can be carried out outside the process contained in the CNN algorithm or using feature learning depending on the needs of the research itself, and the results of the classification at 20 epochs and a learning rate value of 0.001 obtained an accuracy of 90% with a precision of 90% and a recall of 90%. …”
Get full text
Article -
413
Semi‐supervised domain adaptation via subspace exploration
Published 2024-04-01“…To be concrete, for disentangling the intricate relationship between feature learning and subspace exploration, the authors iterate and optimise them in two steps: in the first step, the authors aim to learn well‐clustered latent representations by aggregating the target feature around the estimated class‐wise prototypes; in the second step, the authors adaptively explore a subspace of an autoencoder for robust SSDA. …”
Get full text
Article -
414
A hybrid U‐shaped and transformer network for change detection in high‐resolution remote sensing images
Published 2024-04-01“…Specifically, a UNet++‐based backbone to facilitate feature learning across different scales. In addition, we introduce a transformer‐based feature fusion module for extracting long‐range dependencies, which can enhance the representation ability of the network. …”
Get full text
Article -
415
MDBF: Meta-Path-Based Depth and Breadth Feature Fusion for Recommendation in Heterogeneous Network
Published 2023-09-01“…Using a random walk for depth feature learning, we can extract a depth feature meta-path that reflects the overall structure of the network. …”
Get full text
Article -
416
Analysis of the Teaching Path of Animation Film Majors Integrating Digital Visual Space in the Context of Digital Media Art
Published 2024-01-01“…And under the condition of having extra bandwidth, the animation feature learning evaluation dimension is 2589, and increasing the animation visual frame rate can improve the output picture quality of animation more effectively. …”
Get full text
Article -
417
A CNN-ELM Classification Model for Automated Tomato Maturity Grading
Published 2022-04-01“…This paper proposes a CNN-ELM classification model for automated tomato maturity grading that combines CNNs’ automated feature learning capabilities with the efficiency of extreme learning machines to perform fast and accurate classification even with limited training data. …”
Get full text
Article -
418
CDL-GAN: Contrastive Distance Learning Generative Adversarial Network for Image Generation
Published 2021-02-01“…The CoCD explicitly maximizes the ratio of the distance between generated images and the increment between noise vectors to strengthen image feature learning for the generator. The ChCD measures the sampling distance of the encoded images in Euler space to boost feature representations for the discriminator. …”
Get full text
Article -
419
Learning Polynomial-Based Separable Convolution for 3D Point Cloud Analysis
Published 2021-06-01“…Point convolution is an essential operation when designing a network on point clouds for these tasks, which helps to explore 3D local points for feature learning. In this paper, we propose a novel point convolution (PSConv) using separable weights learned with polynomials for 3D point cloud analysis. …”
Get full text
Article -
420
Texture synthesis of ecological plant protection image based on convolution neural network
Published 2022-10-01“…Convolutional neural network model can learn the features in data and realize intelligent processing through the feature learning in data. Later, with the rapid improvement of convolutional neural network, texture synthesis technology based on neural network came into being. …”
Get full text
Article