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Active Learning and Transfer Learning for Document Segmentation
AbstractIn this paper, we investigate the effectiveness of classical approaches to active learning in the problem of document segmentation with the...
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Redirected transfer learning for robust multi-layer subspace learning
Unsupervised transfer learning methods usually exploit the labeled source data to learn a classifier for unlabeled target data with a different but...
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One improved learning analytics of interest transfer in interactive learning activities
Mining interactive learning activities and exploring learners' interest transfer are the key issues to realize education optimization and learning...
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Transfer-learning-based representation learning for trajectory similarity search
Trajectory similarity search is one of the most fundamental tasks in spatial-temporal data analysis. Classical methods are based on predefined...
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Transfer and supplement AdaBoost for extracting region proposals of CNN in transfer-learning application
As a common way to extract region proposals for CNN based detection, Region Proposal Network often requires very large amount of training samples and...
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Transfer Learning
This video teaches you what is transfer learning and describes several pre-trained models available for text and image datasets.
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Deep Transfer Learning
With the development of deep learning, more and more researchers adopt deep neural networks for transfer learning. Compared to traditional machine...
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LSNet: a deep learning based method for skin lesion classification using limited samples and transfer learning
When analyzing skin lesion image data using deep learning, the lack of a sufficient amount of effective training data poses a challenge. Although...
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Introduction to Transfer Learning Algorithms and Practice
Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing...
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Adversarial Transfer Learning
Generative Adversarial Nets (GAN) is one of the most popular research topics in recent years. In this chapter, we introduce adversarial transfer...
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TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning (FSCIL) struggles to incrementally recognize novel classes from few examples without catastrophic forgetting of...
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Facial Micro-expression Modelling-Based Student Learning Rate Evaluation Using VGG–CNN Transfer Learning Model
Micro-facial expressions hold the potential to identify emotional states of students during their participation in online learning tasks. Through...
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Transfer Learning and Transformer Technology
Transfer learning is a commonly used deep learning model to minimize computational resources. This chapter explores: (1) Transfer Learning (TL)...
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From Machine Learning to Transfer Learning
Transfer learning is an important branch of machine learning. They have very tight connections. Therefore, we should first start familiarizing with...
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Heterogeneous transfer learning: recent developments, applications, and challenges
Transfer learning (TL) has emerged as a promising area of research in machine learning (ML) due to its ability to enhance learning efficiency and...
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Transfer learning-based quantized deep learning models for nail melanoma classification
Skin cancer, particularly melanoma, has remained a severe issue for many years due to its increasing incidences. The rising mortality rate associated...
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Active Selection Transfer Learning Algorithm
Transfer learning has the ability to utilize the knowledge of the source domain with enough available and labeled data to help build a learning model...
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A Transfer Learning-Based CNN Deep Learning Model for Unfavorable Driving State Recognition
The detection of unfavorable driving states (UDS) of drivers based on electroencephalogram (EEG) measures has received continuous attention from...
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Convolutional encoder–decoder network using transfer learning for topology optimization
State-of-the-art deep neural networks have achieved great success as an alternative to topology optimization by eliminating the iterative framework...
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Transfer learning based cascaded deep learning network and mask recognition for COVID-19
The COVID-19 is still spreading today, and it has caused great harm to human beings. The system at the entrance of public places such as shop**...
