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Low power ldpc decoder implementation using layer decoding | PPTX
This document proposes a low-power LDPC decoder implementation using layered decoding. It discusses how LDPC codes can be used for reliable data transmission and are finding increasing use. It describ...
Deep Learning Reading Group: Skip-Thought Vectors - KDnuggets
Skip-thought vectors take inspiration from Word2Vec skip-gram and attempt to extend it to sentences, and are created using an encoder-decoder model. Read on for an overview of the paper. Continuing th...
Attention mechanism in Deep Learning, Explained - KDnuggets
Attention is a powerful mechanism developed to enhance the performance of the Encoder-Decoder architecture on neural network-based machine translation tasks. Learn more about how this process works an...
Application of Matrices on Cryptography | PPTX
This document discusses using matrices for cryptography. It explains that encryption involves transforming data into an unreadable form using a key, while decryption reverses the process. For matrix c...
[2602.00153] See Without Decoding: Motion-Vector-Based Tracking i...
Abstract page for arXiv paper 2602.00153: See Without Decoding: Motion-Vector-Based Tracking in Compressed Video
[2602.00153] See Without Decoding: Motion-Vector-Based Tracking i...
Abstract page for arXiv paper 2602.00153: See Without Decoding: Motion-Vector-Based Tracking in Compressed Video
[2602.00153v1] See Without Decoding: Motion-Vector-Based Tracking...
Abstract page for arXiv paper 2602.00153v1: See Without Decoding: Motion-Vector-Based Tracking in Compressed Video
NEV: Faster and Smaller NTRU Encryption Using Vector Decoding | S...
In this paper, we present
$$\textsf{NEV}$$
– a faster and smaller NTRU Encryption using Vector dec...
IRJET- Extension to Visual Information Narrator using Neural Netw...
The document describes a proposed extension to a visual information narrator application using neural networks. The researchers developed an Android application that can generate image captions on ine...
Image processing with Optical matrix vector multipliers implement...
This study introduces an optical neural network (ONN)-based autoencoder for efficient image processing, utilizing specialized optical matrix-vector multipliers for both encoding and decoding tasks. To...
Disentangled Representations of Cellular Identity | Springer Natu...
We introduce a disentangled representation for cellular identity that constructs a latent cellular state from a linear combination of condition specific basis vectors that are then decoded into gene e...
Disentangled Representations of Cellular Identity | Springer Natu...
We introduce a disentangled representation for cellular identity that constructs a latent cellular state from a linear combination of condition specific basis vectors that are then decoded into gene e...
Disentangled Representations of Cellular Identity | Springer Natu...
We introduce a disentangled representation for cellular identity that constructs a latent cellular state from a linear combination of condition specific basis vectors that are then decoded into gene e...
IRJET- Reversible Image Data Hiding in an Encrypted Domain with H...
The document proposes a reversible image data hiding scheme that operates in an encrypted domain. It embeds data through public key modulation without needing access to the secret encryption key. It u...
Newfamily of error-correcting codes based on genetic algorithms |...
This paper introduces a novel error-correcting code (ECC) construction and decoding approach utilizing genetic algorithms (GAs). Classical ECCs often struggle with efficiency in correcting multiple er...
LDPC | PPTX
LDPC (Low Density Parity Check) codes were first reported in 1962 by Gallager as a method of channel coding to defeat noise using low density parity check matrices. LDPC codes were rediscovered in 199...
Search | arXiv e-print repository
We gratefully acknowledge support fromthe Simons Foundation,member institutions, and all contributors.Donate Help|Advanced Search arXiv:2604.09591[pdf,ps,other] Simplicity Scales Authors:Andrew Sampso...
Decoding arm speed during reaching | Nature Communications
Neural prostheses decode intention from cortical activity to restore upper extremity movement. Typical decoding algorithms extract velocity—a vector quantity with direction and magnitude (speed)&...
Frontiers | Decoding continuous variables from event-related pote...
Multivariate classification analysis for event-related potential (ERP) data is a powerful tool for predicting cognitive variables. However, classification is...
Frontiers | Decoding continuous variables from event-related pote...
Multivariate classification analysis for event-related potential (ERP) data is a powerful tool for predicting cognitive variables. However, classification is...