Random rotation: Multiply the input vector by a fixed random orthogonal matrix. This makes each coordinate follow a known Beta(d/2, d/2) distribution. Lloyd-Max scalar quantization: Quantize each ...
Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...
open-lasso-python / lasso-python Public Notifications You must be signed in to change notification settings Fork 23 Star 72 ...
ABSTRACT: Data compression plays a key role in optimizing the use of memory storage space and also reducing latency in data transmission. In this paper, we are interested in lossless compression ...
Researchers have achieved a breakthrough to enable 'perfectly secure' hidden communications for the first time. The method uses new advances in information theory methods to conceal one piece of ...
Abstract: In this paper, we propose adaptive and flexible quantization and compression algorithms for 3-D point data using vector quantization (VQ) and rate-distortion (R-D) optimization. The point ...
SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management The increase of computer processing speed is significantly outpacing improvements in network and storage ...
Quantization is one of the core components in lossy image compression. For neural image compression, end-to-end optimization requires differentiable approximations of quantization, which can generally ...
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