-
21
Unsupervised Feature Learning for Speech Emotion Recognition Based on Autoencoder
Published 2021-08-01“…Currently, the most effective approach is to make use of unsupervised feature learning techniques to extract speech features from available speech data and generate emotion classifiers with these features. …”
Get full text
Article -
22
Consecutive multiscale feature learning-based image classification model
Published 2023-03-01“…Specifically, we present a consecutive multiscale feature-learning network (CMSFL-Net) that employs a consecutive feature-learning approach based on the usage of various feature maps with different receptive fields to achieve faster training/inference and higher accuracy. …”
Get full text
Article -
23
Temporal Feature Learning and Pulse Prediction for Radars with Variable Parameters
Published 2022-10-01Get full text
Article -
24
Multi-Scale Feature Learning for Language Identification of Overlapped Speech
Published 2023-03-01Get full text
Article -
25
Effective Transfer Learning with Label-Based Discriminative Feature Learning
Published 2022-03-01Get full text
Article -
26
Deep Feature Learning for Intrinsic Signature Based Camera Discrimination
Published 2022-09-01Subjects: Get full text
Article -
27
QoS prediction in intelligent edge computing based on feature learning
Published 2023-02-01Subjects: Get full text
Article -
28
Adversarial Multiscale Feature Learning Framework for Overlapping Chromosome Segmentation
Published 2022-04-01Subjects: Get full text
Article -
29
Genetic Programming for High-Level Feature Learning in Crop Classification
Published 2022-08-01Subjects: Get full text
Article -
30
Dense Point Cloud Reconstruction by Shape and Pose Features Learning
Published 2022-05-01Get full text
Article -
31
Multiple deep features learning for object retrieval in surveillance videos
Published 2016-06-01Subjects: “…multiple deep features learning…”
Get full text
Article -
32
Deep Feature Learning with Manifold Embedding for Robust Image Retrieval
Published 2020-12-01Subjects: Get full text
Article -
33
Feature learning in deep classifiers through Intermediate Neural Collapse
Published 2023“…In this paper, we conduct an empirical study of the feature learning process in deep classifiers. Recent research has identified a training phenomenon called Neural Collapse (NC), in which the top-layer feature embeddings of samples from the same class tend to concentrate around their means, and the top layer’s weights align with those features. …”
Get full text
Article -
34
Discriminative Ocular Artifact Correction for Feature Learning in EEG Analysis
Published 2018“…To address these issues, we propose a novel discriminative ocular artifact correction approach for feature learning in EEG analysis. Without extra ocular movement measurements, the artifact is extracted from raw EEG data, which is totally automatic and requires no visual inspection of artifacts. …”
Get full text
Get full text
Journal Article -
35
Multilayer vectorization to develop a deeper image feature learning model
Published 2023-04-01Get full text
Article -
36
Multi-Scale Feature Learning Convolutional Neural Network for Image Denoising
Published 2023-09-01Subjects: “…multi-scale feature learning…”
Get full text
Article -
37
A Tooth Segmentation Method Based on Multiple Geometric Feature Learning
Published 2022-10-01Subjects: Get full text
Article -
38
Person Re‐identification Based on Feature Erasure and Diverse Feature Learning
Published 2022-09-01“…Finally, diverse feature learning is achieved through the branch network structure. …”
Get full text
Article -
39
Multiscale Feature-Learning with a Unified Model for Hyperspectral Image Classification
Published 2023-09-01“…The main objective was to facilitate multiscale feature learning, a pivotal facet in hyperspectral image classification, with each branch specializing in unique facets of multiscale feature extraction. …”
Get full text
Article -
40
Discriminative Angle Feature Learning for Open-Set Deep Fault Classification
Published 2023-01-01Get full text
Article