In the present discussion, the encoding and decoding (machine learning approach) of single error-correcting binary channel coding scheme referred to as weight-based code is proposed. An \\(^{\\prime}n^{\\prime}\\) bit code word will be transmitted in the place of \\(^{\\prime}k^{\...
16 to 24-bit per channel for some specific applications. 4) Time sampling (t): with the development of capturing and computational photography technologies [16], the video frame rate increases from 25/30 frames per second (fps) for SD video to 60 fps for HD video, and will probably be ...
" You can't tell this by looking at gender breakdowns. Those may be balanced. And since this is machine learning, not traditional coding, there is no variable there labeled "higher risk of depression," "higher risk of pregnancy," "aggressive guy scale." Not only do you not know what yo...
What if it's hiring aggressive people because that's yourworkplace culture?" You can't tell this by looking at genderbreakdowns. Those may be balanced. And since this is machine learning, not traditional coding, there is novariablethere labeled "higher risk of depression," "higher risk of ...
This paper presents a fast mode and partition decision framework for screen content coding (SCC) based on machine learning. Extensive statistical studies and complexity evaluations are conducted to explore the distribution of different coding modes and their complexities. The proposed encoder scheme is ...
Furthermore, alternative methods based on joint source-channel coding15,32,33 still require introducing error-control redundancy which we are aiming to dispose of in our learning-based approach. To demonstrate this point, we performed extensive simulations with six combinations of JPEG image ...
This article resorts to the perspective of machine learning (ML) to cope with the major challenges of adaptive modulation and coding (AMC) design in UACs. First, we present an ML AMC framework for UACs. Then, we propose an attention-aided k -nearest neighbor (A- k NN) algorithm with ...
Elliot Waite - Machine Learning, Coding, Math Animations (https://www.youtube.com/c/elliotwaite/videos) James Briggs - NLP semantic search, vector similarity search (https://www.youtube.com/c/JamesBriggs/playlists) Dataquest (https://www.youtube.com/channel/UC_lePY0Lm0E2-_IkYUWpI5A) Byt...
As such, a machine learning practitioner requires a strong understanding and intuition for information and entropy. In this post, you will discover a gentle introduction to information entropy. After reading this post, you will know: Information theory is concerned with data compression and ...
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press). - GitHub - Ningjiayu/machine_learning_refined: Notes, examples, and Python demos for the textbook "Machine Learning Refined" (publis