Synthetic Data for Artificial Intelligence and Machine Learning : Tools, Techniques, and Applications / Christopher L. Howell, Kimberly E. Manser, Raghuveer M. Rao, editors.

Format:

Book

Contributor:

Howell, Christopher L., editor.

Manser, Kimberly E., editor.

Rao, Raghuveer M., editor.

Language:

English

Subjects (All):

Artificial intelligence.

Physical Description:

1 online resource

Other Title:

Synthetic Data for Artificial Intelligence and Machine Learning

Place of Publication:

[Place of publication not identified] : SPIE, 2023.

Summary:

This PDF file contains the front matter associated with SPIE Proceedings Volume XXXXX, including the Title Page, Copyright information, Table of Contents, and Conference Committee information.

Contents:

Front Matter: Volume 12529 (1)

The Unsung Hero: How Synthetic Data has Helped Computer Vision, Machine Learning, and AI (1)

Data Engineering and Curation (5)

Fidelity and Sensitivity Analysis (3)

Synthetic Data Generation Tools I (4)

Synthetic Data Generation Tools II (4)

Generative Models for Synthetic Data Creation (3)

Synthetic Data for Multi-Domain AI/ML Applications: Joint Session with Conferences 12529 and 12538 (3)

Synthetic Data for Unmanned Systems Technology Applications: Joint Session with Conferences 12529 and 12549 (2)

Poster Session (10).

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-5106-6173-5