Online, incremental real-time learning for tagging and labeling data streams for deep neural networks and neural network applications
L Neves, L Debeasi, HA Versace, J Wurbs… - US Patent …, 2022 - Google Patents
Today, artificial neural networks are trained on large sets of manually tagged images.
Generally, for better training, the training data should be as large as possible. Unfortunately …
Generally, for better training, the training data should be as large as possible. Unfortunately …
Human-in-the-loop active learning via brain computer interface
E Netzer, AB Geva - Annals of Mathematics and Artificial Intelligence, 2020 - Springer
This paper develops and examines an innovative methodology for training an artificial
neural network to identify and tag target visual objects in a given database. While the field of …
neural network to identify and tag target visual objects in a given database. While the field of …
Advances in deep learning approaches for image tagging
The advent of mobile devices and media cloud services has led to the unprecedented
growth of personal photo collections. One of the fundamental problems in managing the …
growth of personal photo collections. One of the fundamental problems in managing the …
TagIT: a system for image auto-tagging and clustering
A Katiyar, V Srividya, BK Tripathy - Data Engineering and Intelligent …, 2021 - Springer
In today's world, most of the things we buy, whether we talk about buying apparels, home
decor or kitchen utensils, are through the online mode. E-commerce websites play a major …
decor or kitchen utensils, are through the online mode. E-commerce websites play a major …
Image tagging with deep learning: Fine-grained visual analysis
J Fu, T Mei - Big Data Analytics for Large-Scale Multimedia …, 2019 - books.google.com
Recent years have witnessed the ubiquity of mobile devices (eg, smart phones, digital
cameras, tablets, etc.) and media cloud services. This has led to an unprecedented growth …
cameras, tablets, etc.) and media cloud services. This has led to an unprecedented growth …
Multi-output regression with tag correlation analysis for effective image tagging
Automatic image tagging is one of the most important research topics in multimedia. How to
achieve accurate image tagging to bridge the semantic gap between images' content and …
achieve accurate image tagging to bridge the semantic gap between images' content and …
Deep ranking structural support vector machine for image tagging
Image tagging is an active research topic in computer vision and machine learning, due to
its wide applications on semantic search and image retrieval. Although recent approaches …
its wide applications on semantic search and image retrieval. Although recent approaches …
Automatic labeling of large amounts of handwritten characters with gate-guided dynamic deep learning
Most successful methods based on convolutional neural networks (CNNs) rely on a large
number of labeled samples to achieve a promising performance. However, manually …
number of labeled samples to achieve a promising performance. However, manually …
Content-based image recognition and tagging by deep learning methods
A Jeya Christy, K Dhanalakshmi - Wireless Personal Communications, 2022 - Springer
Deep learning techniques is growing wider day by day in the process of Content based
Image retrieval (CBIR). The recognition of the image is based on its shape, attributes, and …
Image retrieval (CBIR). The recognition of the image is based on its shape, attributes, and …
Tagging personal photos with transfer deep learning
The advent of mobile devices and media cloud services has led to the unprecedented
growing of personal photo collections. One of the fundamental problems in managing the …
growing of personal photo collections. One of the fundamental problems in managing the …