A neural network (NN) is an ensemble of basic signal-processing units that are highly interconnected. Deep Neural Networks (DNNs) are NNs formed by several successive layers of units whose topology ...
Image compression is one of the most attractive and practical topics. Without image compression, the image size becomes too large for storage. The transmission of uncompressing images on computer ...
Recursive Compression Theory (RCT) reframes the question of AI consciousness from "Does AI experience subjective states?" to "Can stable identity emerge from recursive interaction patterns?" This ...
A complicated card trick that deals with the colors of the cards and a binary De Bruijn cycle has helped a mathematician reach a new bound on data compression. Magic and math, more friendly than you’d ...
ABSTRACT: This paper consists of a lossy image compression algorithm dedicated to the medical images doing comparison of RGB and YCbCr color space. Several lossy/lossless transform coding techniques ...
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