E-Books →From Unimodal to Multimodal Machine Learning An Overview (SpringerBriefs in Computer Science)

Free Download From Unimodal to Multimodal Machine Learning: An Overview (SpringerBriefs in Computer Science) by Blaž Scaronkrlj
English | May 22, 2024 | ISBN: 3031570154 | 83 pages | MOBI | 2.23 Mb
With the increasing amount of various data types, machine learning methods capable of leveraging diverse sources of information have become highly relevant. Deep learning-based approaches have made significant progress in learning from texts and images in recent years. These methods enable simultaneous learning from different types of representations (embeddings). Substantial advancements have also been made in joint learning from different types of spaces. Additionally, other modalities such as sound, physical signals from the environment, and time series-based data have been recently explored. Multimodal machine learning, which involves processing and learning from data across multiple modalities, has opened up new possibilities in a wide range of applications, including speech recognition, natural language processing, and image recognition.