… [10] further developed a fast version of LCC, ie, locality-constrained linear coding (LLC).
LLC employs the locality constraint to project each feature into its local-coordinate system. This …

… In this study, we applied deep learning techniques to compute the codes. A deep convolutional
… patterns (on a linear scale) coded by genetic algorithm and deep learning approach. …

In this paper, we apply neural networks to the encoding and decoding of polar codes. Polar
codes in 5G communication which meets the simple and ultra-low latency can also be …

… compact binary codes via thresholding with non-linear functions along the … codes learning
performance. Supervised approaches [18, 20, 15] incorporate label information during learning…

… a brief introduction to deep learning fundamentals. The … and well established within the field
of deep learning. In its basic form, … a nonlinear activation function, eg, the rectified linear unit (…

… CONCLUSION In this paper, we considered the ISC system and presented a deep
learning-based semantic image coding approach that interprets and encodes images beyond pixel …

… codes is difficult using present technologies. This paper presents a deep residual network-based
deep learning (DL) … The proposed method can blindly identify the convolutional codes …

… Since the deep learning is employed on top of the proposed NC-RD … Kisilev, “Deep learning
for decoding of linear codes—A … Lin, “Soft-decision decoding of linear block codes based on …

… deep-learning (DL)-based algorithms and techniques to improve the decoding performance
of linear block codes … We formulate the belief propagation (BP) decoding of linear block code …

… algorithms, in this letter we propose the use of random linear codes in HDC. The term … on
Boolean linear algebra and linear codes, and iterate the (known) fact that random linear codes …