![]() Although some machine learning models, such as bidirectional encoder from transformer, can incorporate massive unlabeled molecular data into molecular representations via a self-supervised learning strategy, it neglects three-dimensional (3D) stereochemical information. Despite considerable efforts, quantitative prediction of various molecular properties remains a challenge. Congress on Intellectual Property Rights for Specialized Information, Knowledge, and New Technologies, Vienna, August 1995.The ability of molecular property prediction is of great significance to drug discovery, human health, and environmental protection. Koch, Embedding Robust Labels into Images for Copyright Protection, Proc. Weiler, The Radial Edge Structure: A Topological Representation for Non-Manifold Geometric Boundary Modeling, Geometric Modeling for CAD Applications, North Holland, pp3–36, May 1986. Walton, Image Authentication for a Slippery New Age, Dr. 1990 IEEE Military Communications Conference, pp216–220, 1990. Matsui, Embedding Secret Information into a Dithered Multilevel Image, Proc. Anderson, Ed., Lecture Notes in Computer Science No.1174, pp207–296, Springer-Verlag, 1996. Comiskey, Modulation and Information Hiding in Images, in R. Schneier, Applied Cryptography, Second edition, John Wiley & Sons, Inc., New York, 1996. Anderson, Ed., Lecture Notes in Computer Science No. ![]() Pfitzmann, Information Hiding Terminology, in R. Boland, Watermarking digital images for copyright protection, IEE Proceedings on Vision, Image, and Signal Processing, Vol. O'Rourke, Computational Geometry in C, Cambridge University Press, 1994. D dissertation, Department of Precision Machinery Engineering, University of Tokyo, 1996 (in Japanese). Masuda, Topological operations for non-manifold geometric modeling and their applications, Ph. ISO/IEC JTC1 SC24/N1596 CD #14772 Virtual Reality Model Language (VRML 2.0) Farin, Curves and Surfaces for CAGD: a Practical guide, 4 th edition, Academic Press, 1996. Shamoon, Secure Spread Spectrum Watermarking for Multimedia, Technical Report 95-10, NEC Research Institute, 1995. Mintzer, Protecting Publicly-Available Images with a Visible Image Watermark, IBM Research Report, TC-20336 (89918), January 15, 1996. O'Gorman, Protecting Ownership Rights Through Digital Watermarking, IEEE Computer, July 1996, pp101–103. The paper then presents several data-embedding algorithms, with examples, based on these fundamental methods. Given objects consisting of points, lines, (connected) polygons, or curved surfaces, the algorithms described in this paper produce polygonal models with data embedded into either their vertex coordinates, their vertex topology (connectivity), or both.Ī description of the background and requirements is followed by a discussion of where, and by what fundamental methods, data can be embedded into 3D polygonal models. This paper discusses techniques for embedding data into 3D models. Applications of such data embedding include copyright identification, theft deterrence, and inventory. The recent popularity of digital media such as CD-ROM and the Internet has prompted exploration of techniques for embedding data, either visibly or invisibly, into text, image, and audio objects.
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